Publications

2025

• DOI BibTeX
  M.T. Hannani, C.S. Thudium, A.C. Gellhorn, J. Larkin, M.A. Karsdal, Z. Lisowska-Petersen, P. Frederiksen, C.L. Bager, C. Ladel, A. Struglics, M. Uebelhoer, Y. Henrotin, A.R. Bihlet, F.J. Blanco, I.K. Haugen, M. Kloppenburg, F. Berenbaum, A. Mobasheri, J. Bacardit, A. Bay-Jensen
  Longitudinal stability of molecular endotypes of knee osteoarthritis patients
  in Osteoarthritis and Cartilage, 33(1):166-175, January 2025

  @ARTICLE{Hannani2024,
    title = {Longitudinal stability of molecular endotypes of knee osteoarthritis patients},
    author = {Hannani, Monica T. and Thudium, Christian S. and Gellhorn, Alfred C. and Larkin, Jonathan and Karsdal, Morten A. and Lisowska-Petersen, Zofia and Frederiksen, Peder and Bager, Cecilie L. and Ladel, Christoph and Struglics, André and Uebelhoer, Melanie and Henrotin, Yves and Bihlet, Asger R. and Blanco, Francisco J. and Haugen, Ida K. and Kloppenburg, Margreet and Berenbaum, Francis and Mobasheri, Ali and Bacardit, Jaume and Bay-Jensen, Anne-Christine},
    year = 2025,
    doi = {10.1016/j.joca.2024.11.002},
    month = jan,
    journal = {Osteoarthritis and Cartilage},
    volume = {33},
    number = {1},
    pages = {166--175}
  }
  

2024

• DOI BibTeX
  Y. Huang, A. Wipat, J. Bacardit
  Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains
  in Biotechnology and Bioengineering, 121(1):355-365, January 2024

  @ARTICLE{Huang2023a,
    title = {Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains},
    author = {Huang, Yiming and Wipat, Anil and Bacardit, Jaume},
    year = 2024,
    doi = {10.1002/bit.28567},
    month = jan,
    journal = {Biotechnology and Bioengineering},
    volume = {121},
    number = {1},
    pages = {355--365}
  }
  

• DOI BibTeX
  L. Xiao, L. Jia, J. Dai, Y. Cao, Y. Li, Q. Zhu, J. Li, M. Liu
  Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time
  in IEEE Transactions on Neural Networks and Learning Systems, 35(3):3478-3487, March 2024

  @ARTICLE{Xiao2022a,
    title = {Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time},
    author = {Xiao, Lin and Jia, Lei and Dai, Jianhua and Cao, Yingkun and Li, Yiwei and Zhu, Quanxin and Li, Jichun and Liu, Min},
    year = 2024,
    doi = {10.1109/TNNLS.2022.3193429},
    month = mar,
    journal = {IEEE Transactions on Neural Networks and Learning Systems},
    volume = {35},
    number = {3},
    pages = {3478--3487}
  }
  

• DOI
  C.M. Owen, J. Bacardit, M.P. Tan, N.I. Saedon, C. Goh, J.L. Newton, J. Frith
  Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension
  in Experimental Physiology, available online since November 2024
• DOI BibTeX
  C. Turner, L.M. Pardo, D.A. Gunn, R. Zillmer, S. Mekić, F. Liu, M.A. Ikram, C.C.W. Klaver, P.H. Croll, A. Goedegebure, K. Trajanoska, F. Rivadeneira, M. Kavousi, G.G.O. Brusselle, M. Kayser, T. Nijsten, J. Bacardit
  Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study
  in Journal of the European Academy of Dermatology and Venereology, 38(12):2295-2302, December 2024

  @ARTICLE{Turner2024,
    title = {Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study},
    author = {Turner, Conor and Pardo, Luba M. and Gunn, David A. and Zillmer, Ruediger and Mekić, Selma and Liu, Fan and Ikram, M. Arfan and Klaver, Caroline C. W. and Croll, Pauline H. and Goedegebure, André and Trajanoska, Katerina and Rivadeneira, Fernando and Kavousi, Maryam and Brusselle, Guy G. O. and Kayser, Manfred and Nijsten, Tamar and Bacardit, Jaume},
    year = 2024,
    doi = {10.1111/jdv.20365},
    month = dec,
    journal = {Journal of the European Academy of Dermatology and Venereology},
    volume = {38},
    number = {12},
    pages = {2295--2302}
  }
  

• DOI
  R. Zhou, J. Bacardit, A.E.I. Brownlee, S. Cagnoni, M. Fyvie, G. Iacca, J. McCall, N. van Stein, D.J. Walker, T. Hu
  Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems
  in IEEE Transactions on Evolutionary Computation, available online since 2024

2023

• DOI BibTeX
  Y. Huang, N. Sinha, A. Wipat, J. Bacardit
  A knowledge integration strategy for the selection of a robust multi-stress biomarkers panel for Bacillus subtilis
  in Synthetic and Systems Biotechnology, 8(1):97-106, March 2023

  @ARTICLE{Huang2023,
    title = {A knowledge integration strategy for the selection of a robust multi-stress biomarkers panel for Bacillus subtilis},
    author = {Huang, Yiming and Sinha, Nishant and Wipat, Anil and Bacardit, Jaume},
    year = 2023,
    doi = {10.1016/j.synbio.2022.12.001},
    month = mar,
    journal = {Synthetic and Systems Biotechnology},
    volume = {8},
    number = {1},
    pages = {97--106}
  }
  

• DOI BibTeX
  C. Taylor, J. Guy, J. Bacardit
  Estimating individual-level pig growth trajectories from group-level weight time series using machine learning
  in Computers and Electronics in Agriculture, 208(C):107790, May 2023

  @ARTICLE{Taylor2023,
    title = {Estimating individual-level pig growth trajectories from group-level weight time series using machine learning},
    author = {Taylor, Christian and Guy, Jonathan and Bacardit, Jaume},
    year = 2023,
    doi = {10.1016/j.compag.2023.107790},
    month = may,
    journal = {Computers and Electronics in Agriculture},
    volume = {208},
    number = {C},
    pages = {107790}
  }
  

• DOI BibTeX
  L. Xiao, W. Huang, X. Li, F. Sun, Q. Liao, L. Jia, J. Li, S. Liu
  ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation
  in IEEE Transactions on Neural Networks and Learning Systems, 34(12):9981-9991, December 2023

  @ARTICLE{Xiao2022,
    title = {ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation},
    author = {Xiao, Lin and Huang, Wenqian and Li, Xiaopeng and Sun, Fuchun and Liao, Qing and Jia, Lei and Li, Jichun and Liu, Sai},
    year = 2023,
    doi = {10.1109/TNNLS.2022.3163293},
    month = dec,
    journal = {IEEE Transactions on Neural Networks and Learning Systems},
    volume = {34},
    number = {12},
    pages = {9981--9991}
  }
  

• DOI BibTeX
  P. Widera, P.M.J. Welsing, S.O. Danso, S. Peelen, M. Kloppenburg, M. Loef, A.C. Marijnissen, E.M. van Helvoort, F.J. Blanco, J. Magalhães, F. Berenbaum, I.K. Haugen, A. Bay-Jensen, A. Mobasheri, C. Ladel, J. Loughlin, F.P.J. Lafeber, A. Lalande, J. Larkin, H. Weinans, J. Bacardit
  Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study
  in Osteoarthritis and Cartilage Open, 5(4):100406, December 2023

  @ARTICLE{Widera2023,
    title = {Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study},
    author = {Widera, Paweł and Welsing, Paco M. J. and Danso, Samuel O. and Peelen, Sjaak and Kloppenburg, Margreet and Loef, Marieke and Marijnissen, Anne C. and van Helvoort, Eefje M. and Blanco, Francisco J. and Magalhães, Joana and Berenbaum, Francis and Haugen, Ida K. and Bay-Jensen, Anne-Christine and Mobasheri, Ali and Ladel, Christoph and Loughlin, John and Lafeber, Floris P. J.G. and Lalande, Agnès and Larkin, Jonathan and Weinans, Harrie and Bacardit, Jaume},
    year = 2023,
    doi = {10.1016/j.ocarto.2023.100406},
    month = dec,
    journal = {Osteoarthritis and Cartilage Open},
    volume = {5},
    number = {4},
    pages = {100406}
  }
  

2022

• DOI BibTeX
  P. Darke, S. Cassidy, M. Catt, R. Taylor, P. Missier, J. Bacardit
  Curating a longitudinal research resource using linked primary care EHR data—a UK Biobank case study
  in Journal of the American Medical Informatics Association, 29(3):546-552, January 2022

  @ARTICLE{Darke2021,
    title = {Curating a longitudinal research resource using linked primary care EHR data—a UK Biobank case study},
    author = {Darke, Philip and Cassidy, Sophie and Catt, Michael and Taylor, Roy and Missier, Paolo and Bacardit, Jaume},
    year = 2022,
    doi = {10.1093/jamia/ocab260},
    month = jan,
    journal = {Journal of the American Medical Informatics Association},
    volume = {29},
    number = {3},
    pages = {546--552}
  }
  

• DOI BibTeX
  S. Jiang, I. Otero-Muras, J.R. Banga, Y. Wang, M. Kaiser, N. Krasnogor
  OptDesign: Identifying Optimum Design Strategies in Strain Engineering for Biochemical Production
  in ACS Synthetic Biology, 11(4):1531-1541, April 2022

  @ARTICLE{Jiang2022,
    title = {OptDesign: Identifying Optimum Design Strategies in Strain Engineering for Biochemical Production},
    author = {Jiang, Shouyong and Otero-Muras, Irene and Banga, Julio R. and Wang, Yong and Kaiser, Marcus and Krasnogor, Natalio},
    year = 2022,
    doi = {10.1021/acssynbio.1c00610},
    month = apr,
    journal = {ACS Synthetic Biology},
    volume = {11},
    number = {4},
    pages = {1531--1541}
  }
  

• DOI BibTeX
  F. Angelini, P. Widera, A. Mobasheri, J. Blair, A. Struglics, M. Uebelhoer, Y. Henrotin, A.C. Marijnissen, M. Kloppenburg, F.J. Blanco, I.K. Haugen, F. Berenbaum, C. Ladel, J. Larkin, A.C. Bay-Jensen, J. Bacardit
  Osteoarthritis endotype discovery via clustering of biochemical marker data
  in Annals of the Rheumatic Diseases, 81(5):666-675, May 2022

  @ARTICLE{Angelini2022,
    title = {Osteoarthritis endotype discovery via clustering of biochemical marker data},
    author = {Angelini, Federico and Widera, Paweł and Mobasheri, Ali and Blair, Joseph and Struglics, André and Uebelhoer, Melanie and Henrotin, Yves and Marijnissen, Anne CA and Kloppenburg, Margreet and Blanco, Francisco J and Haugen, Ida K and Berenbaum, Francis and Ladel, Christoph and Larkin, Jonathan and Bay-Jensen, Anne C and Bacardit, Jaume},
    year = 2022,
    doi = {10.1136/annrheumdis-2021-221763},
    month = may,
    journal = {Annals of the Rheumatic Diseases},
    volume = {81},
    number = {5},
    pages = {666--675}
  }
  

• DOI BibTeX
  H. Fellermann, R.M. Füchslin
  Editorial: The 2019 Conference on Artificial Life Special Issue
  in Artificial Life, 28(2):171-172, June 2022

  @ARTICLE{Fellermann2022,
    title = {Editorial: The 2019 Conference on Artificial Life Special Issue},
    author = {Fellermann, Harold and Füchslin, Rudolf M.},
    year = 2022,
    doi = {10.1162/artl_e_00380},
    month = jun,
    journal = {Artificial Life},
    volume = {28},
    number = {2},
    pages = {171--172}
  }
  

• DOI BibTeX
  Z. Wang, J. Li, I. Daly, J. Li
  Machine Learning for Multi-Action Classification of Lower Limbs for BCI
  in 2022 International Conference on Computing, Electronics & Communications Engineering (iCCECE), p.84-89, Southend, United Kingdom, August 2022

  @INPROCEEDINGS{Wang2022,
    title = {Machine Learning for Multi-Action Classification of Lower Limbs for BCI},
    author = {Wang, Zilu and Li, Jichun and Daly, Ian and Li, Junhua},
    year = 2022,
    doi = {10.1109/iCCECE55162.2022.9875092},
    month = aug,
    booktitle = {2022 International Conference on Computing, Electronics & Communications Engineering (iCCECE)},
    pages = {84--89},
    address = {Southend, United Kingdom}
  }
  

• DOI BibTeX
  C. Taylor, J. Guy, J. Bacardit
  Prediction of growth in grower-finisher pigs using recurrent neural networks
  in Biosystems Engineering, 220(C):114-134, August 2022

  @ARTICLE{Taylor2022,
    title = {Prediction of growth in grower-finisher pigs using recurrent neural networks},
    author = {Taylor, Christian and Guy, Jonathan and Bacardit, Jaume},
    year = 2022,
    doi = {10.1016/j.biosystemseng.2022.05.016},
    month = aug,
    journal = {Biosystems Engineering},
    volume = {220},
    number = {C},
    pages = {114--134}
  }
  

• DOI BibTeX
  H. Danesh, D.H. Steel, J. Hogg, F. Ashtari, W. Innes, J. Bacardit, A. Hurlbert, J.C.A. Read, R. Kafieh
  Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases
  in Translational Vision Science & Technology, 11(10):10, October 2022

  @ARTICLE{Danesh2022,
    title = {Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases},
    author = {Danesh, Hajar and Steel, David H. and Hogg, Jeffry and Ashtari, Fereshteh and Innes, Will and Bacardit, Jaume and Hurlbert, Anya and Read, Jenny C. A. and Kafieh, Rahele},
    year = 2022,
    doi = {10.1167/tvst.11.10.10},
    month = oct,
    journal = {Translational Vision Science & Technology},
    volume = {11},
    number = {10},
    pages = {10}
  }
  

2021

• DOI BibTeX
  Y. Huang, W. Smith, C. Harwood, A. Wipat, J. Bacardit
  Computational Strategies for the Identification of a Transcriptional Biomarker Panel to Sense Cellular Growth States in Bacillus subtilis
  in Sensors, 21(7):2436, April 2021

  @ARTICLE{Huang2021,
    title = {Computational Strategies for the Identification of a Transcriptional Biomarker Panel to Sense Cellular Growth States in Bacillus subtilis},
    author = {Huang, Yiming and Smith, Wendy and Harwood, Colin and Wipat, Anil and Bacardit, Jaume},
    year = 2021,
    doi = {10.3390/s21072436},
    month = apr,
    journal = {Sensors},
    volume = {21},
    number = {7},
    pages = {2436}
  }
  

• DOI BibTeX
  B. Little, O. Alshabrawy, D. Stow, I.N. Ferrier, R. McNaney, D.G. Jackson, K. Ladha, C. Ladha, T. Ploetz, J. Bacardit, P. Olivier, P. Gallagher, J.T. O'Brien
  Deep learning-based automated speech detection as a marker of social functioning in late-life depression
  in Psychological Medicine, 51(9):1441-1450, July 2021

  @ARTICLE{Little2020,
    title = {Deep learning-based automated speech detection as a marker of social functioning in late-life depression},
    author = {Little, Bethany and Alshabrawy, Ossama and Stow, Daniel and Ferrier, I. Nicol and McNaney, Roisin and Jackson, Daniel G. and Ladha, Karim and Ladha, Cassim and Ploetz, Thomas and Bacardit, Jaume and Olivier, Patrick and Gallagher, Peter and O'Brien, John T.},
    year = 2021,
    doi = {10.1017/S0033291719003994},
    month = jul,
    journal = {Psychological Medicine},
    volume = {51},
    number = {9},
    pages = {1441--1450}
  }
  

• DOI BibTeX
  S. Konur, L. Mierla, H. Fellermann, C. Ladroue, B. Brown, A. Wipat, J. Twycross, B.P. Dun, S. Kalvala, M. Gheorghe, N. Krasnogor
  Toward Full-Stack In Silico Synthetic Biology: Integrating Model Specification, Simulation, Verification, and Biological Compilation
  in ACS Synthetic Biology, 10(8):1931-1945, August 2021

  @ARTICLE{Konur2021,
    title = {Toward Full-Stack In Silico Synthetic Biology: Integrating Model Specification, Simulation, Verification, and Biological Compilation},
    author = {Konur, Savas and Mierla, Laurentiu and Fellermann, Harold and Ladroue, Christophe and Brown, Bradley and Wipat, Anil and Twycross, Jamie and Dun, Boyang Peter and Kalvala, Sara and Gheorghe, Marian and Krasnogor, Natalio},
    year = 2021,
    doi = {10.1021/acssynbio.1c00143},
    month = aug,
    journal = {ACS Synthetic Biology},
    volume = {10},
    number = {8},
    pages = {1931--1945}
  }
  

2020

• DOI BibTeX
  S. Jiang, H. Li, J. Guo, M. Zhong, S. Yang, M. Kaiser, N. Krasnogor
  AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation
  in Information Sciences, 515(C):365-387, April 2020

  @ARTICLE{Jiang2020a,
    title = {AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation},
    author = {Jiang, Shouyong and Li, Hongru and Guo, Jinglei and Zhong, Mingjun and Yang, Shengxiang and Kaiser, Marcus and Krasnogor, Natalio},
    year = 2020,
    doi = {10.1016/j.ins.2019.12.011},
    month = apr,
    journal = {Information Sciences},
    volume = {515},
    number = {C},
    pages = {365--387}
  }
  

• DOI eprint data BibTeX
  P. Widera, P.M.J. Welsing, C. Ladel, J. Loughlin, F.P.F.J. Lafeber, F. Petit Dop, J. Larkin, H. Weinans, A. Mobasheri, J. Bacardit
  Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data
  in Scientific Reports, 10(1), May 2020

  @ARTICLE{Widera2020,
    title = {Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data},
    author = {Widera, Paweł and Welsing, Paco M. J. and Ladel, Christoph and Loughlin, John and Lafeber, Floris P. F. J. and Petit Dop, Florence and Larkin, Jonathan and Weinans, Harrie and Mobasheri, Ali and Bacardit, Jaume},
    year = 2020,
    doi = {10.1038/s41598-020-64643-8},
    month = may,
    journal = {Scientific Reports},
    volume = {10},
    number = {1}
  

• DOI BibTeX
  S. Jiang, M. Kaiser, S. Yang, S. Kollias, N. Krasnogor
  A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization
  in IEEE Transactions on Cybernetics, 50(6):2814-2826, June 2020

  @ARTICLE{Jiang2019,
    title = {A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization},
    author = {Jiang, Shouyong and Kaiser, Marcus and Yang, Shengxiang and Kollias, Stefanos and Krasnogor, Natalio},
    year = 2020,
    doi = {10.1109/TCYB.2019.2896021},
    month = jun,
    journal = {IEEE Transactions on Cybernetics},
    volume = {50},
    number = {6},
    pages = {2814--2826}
  }
  

• DOI BibTeX
  A. Alameer, I. Kyriazakis, J. Bacardit
  Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs
  in Scientific Reports, 10(1), August 2020

  @ARTICLE{Alameer2020a,
    title = {Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs},
    author = {Alameer, Ali and Kyriazakis, Ilias and Bacardit, Jaume},
    year = 2020,
    doi = {10.1038/s41598-020-70688-6},
    month = aug,
    journal = {Scientific Reports},
    volume = {10},
    number = {1}
  

• DOI BibTeX
  M.A. Franco, N. Krasnogor, J. Bacardit
  Automatic Tuning of Rule-Based Evolutionary Machine Learning via Problem Structure Identification
  in IEEE Computational Intelligence Magazine, 15(3):28-46, August 2020

  @ARTICLE{Franco2020,
    title = {Automatic Tuning of Rule-Based Evolutionary Machine Learning via Problem Structure Identification},
    author = {Franco, Maria A. and Krasnogor, Natalio and Bacardit, Jaume},
    year = 2020,
    doi = {10.1109/MCI.2020.2998232},
    month = aug,
    journal = {IEEE Computational Intelligence Magazine},
    volume = {15},
    number = {3},
    pages = {28--46}
  }
  

• DOI BibTeX
  A. Alameer, I. Kyriazakis, H.A. Dalton, A.L. Miller, J. Bacardit
  Automatic recognition of feeding and foraging behaviour in pigs using deep learning
  in Biosystems Engineering, 197(C):91-104, September 2020

  @ARTICLE{Alameer2020,
    title = {Automatic recognition of feeding and foraging behaviour in pigs using deep learning},
    author = {Alameer, Ali and Kyriazakis, Ilias and Dalton, Hillary A. and Miller, Amy L. and Bacardit, Jaume},
    year = 2020,
    doi = {10.1016/j.biosystemseng.2020.06.013},
    month = sep,
    journal = {Biosystems Engineering},
    volume = {197},
    number = {C},
    pages = {91--104}
  }
  

• DOI BibTeX
  M. Vasileva, F. Shmarov, P. Zuliani
  Probabilistic Reachability for Uncertain Stochastic Hybrid Systems via Gaussian Processes
  in 2020 18th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE), p.1-11, Jaipur, India, December 2020

  @INPROCEEDINGS{Vasileva2020,
    title = {Probabilistic Reachability for Uncertain Stochastic Hybrid Systems via Gaussian Processes},
    author = {Vasileva, Mariia and Shmarov, Fedor and Zuliani, Paolo},
    year = 2020,
    doi = {10.1109/MEMOCODE51338.2020.9315182},
    month = dec,
    booktitle = {2020 18th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)},
    pages = {1--11},
    address = {Jaipur, India}
  }
  

2019

• DOI BibTeX
  W.S. Smith, S. Coleman, J. Bacardit, S. Coxon
  Insight from data analytics with an automotive aftermarket SME
  in Quality and Reliability Engineering International, 35(5):1396-1407, July 2019

  @ARTICLE{Smith2019,
    title = {Insight from data analytics with an automotive aftermarket SME},
    author = {Smith, Wayne S. and Coleman, Shirley and Bacardit, Jaume and Coxon, Syd},
    year = 2019,
    doi = {10.1002/qre.2529},
    month = jul,
    journal = {Quality and Reliability Engineering International},
    volume = {35},
    number = {5},
    pages = {1396--1407}
  }
  

• DOI BibTeX
  J. Cowton, I. Kyriazakis, J. Bacardit
  Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning
  in IEEE Access, 7:108049-108060, 2019

  @ARTICLE{Cowton2019,
    title = {Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning},
    author = {Cowton, Jake and Kyriazakis, Ilias and Bacardit, Jaume},
    year = 2019,
    doi = {10.1109/ACCESS.2019.2933060},
    journal = {IEEE Access},
    volume = {7},
    pages = {108049--108060}
  }
  

2018

• eprint BibTeX
  S. Jiang, S. Yang, X. Yao, K.C. Tan, M. Kaiser, N. Krasnogor
  Benchmark Problems for CEC2018 Competition on Dynamic Multiobjective Optimisation
  Newcastle University technical report, -, January 2018

  @TECHREPORT{Jiang2018c,
    title = {Benchmark Problems for CEC2018 Competition on Dynamic Multiobjective Optimisation},
    author = {Jiang, Shouyong and Yang, Shengxiang and Yao, Xin and Tan, Kay Chen and Kaiser, Marcus and Krasnogor, Natalio},
    year = 2018,
    month = jan,
    number = {-},
    institution = {Newcastle University}
  }
  

• DOI BibTeX
  C. Keasar, L.J. McGuffin, B. Wallner, G. Chopra, B. Adhikari, D. Bhattacharya, L. Blake, L.O. Bortot, R. Cao, B.K. Dhanasekaran, I. Dimas, R.A. Faccioli, E. Faraggi, R. Ganzynkowicz, S. Ghosh, S. Ghosh, A. Giełdoń, L. Golon, Y. He, L. Heo, J. Hou, M. Khan, F. Khatib, G.A. Khoury, C. Kieslich, D.E. Kim, P. Krupa, G.R. Lee, H. Li, J. Li, A. Lipska, A. Liwo, et al.
  An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12
  in Scientific Reports, 8(1), July 2018

  @ARTICLE{Keasar2018,
    title = {An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12},
    author = {Keasar, Chen and McGuffin, Liam J. and Wallner, Björn and Chopra, Gaurav and Adhikari, Badri and Bhattacharya, Debswapna and Blake, Lauren and Bortot, Leandro Oliveira and Cao, Renzhi and Dhanasekaran, B. K. and Dimas, Itzhel and Faccioli, Rodrigo Antonio and Faraggi, Eshel and Ganzynkowicz, Robert and Ghosh, Sambit and Ghosh, Soma and Giełdoń, Artur and Golon, Lukasz and He, Yi and Heo, Lim and Hou, Jie and Khan, Main and Khatib, Firas and Khoury, George A. and Kieslich, Chris and Kim, David E. and Krupa, Pawel and Lee, Gyu Rie and Li, Hongbo and Li, Jilong and Lipska, Agnieszka and Liwo, Adam and Maghrabi, Ali Hassan A. and Mirdita, Milot and Mirzaei, Shokoufeh and Mozolewska, Magdalena A. and Onel, Melis and Ovchinnikov, Sergey and Shah, Anand and Shah, Utkarsh and Sidi, Tomer and Sieradzan, Adam K. and Ślusarz, Magdalena and Ślusarz, Rafal and Smadbeck, James and Tamamis, Phanourios and Trieber, Nicholas and Wirecki, Tomasz and Yin, Yanping and Zhang, Yang and Bacardit, Jaume and Baranowski, Maciej and Chapman, Nicholas and Cooper, Seth and Defelicibus, Alexandre and Flatten, Jeff and Koepnick, Brian and Popović, Zoran and Zaborowski, Bartlomiej and Baker, David and Cheng, Jianlin and Czaplewski, Cezary and Delbem, Alexandre Cláudio Botazzo and Floudas, Christodoulos and Kloczkowski, Andrzej and Ołdziej, Stanislaw and Levitt, Michael and Scheraga, Harold and Seok, Chaok and Söding, Johannes and Vishveshwara, Saraswathi and Xu, Dong and Caglar, Ahmet and Coral, Alan and MacMillan, Alison and Lubow, Allen and Failer, Barbara and Kestemont, Bruno and Landers, Catherine R. and Painter, Charles Robert and Garnier, Christophe and Sellin, Claudine and Janz, Dietmar and Wheeler, Douglas Craig and Simon, Vera and Flear, Dylan M. and Croze, Emmanuel and McIlvaine, George Victor and Beecher, Gil and Lawrie, Gordon and Ykman, Guy and Feldmann, Harald and Fuentes, Heidemarie K. and Terumasa, Hosokawa and Kovanecz, Istvan and Longino, James Absalom and Nijland, Jan Hendrik and Diderich, Jasper A. and Canfield, Jeffrey M. and Eriksson, Jesper and Slone, Jesse David and Appel, Joan Goldsworthy and Mitchell, Joanne and Mitch, John and Loots-Boiy, Jorn and Brownlee, June M. and Wilson, Karsten and Clayton, Keith T. and DeFord, Kenneth E. and Abbey, Kirk J. and Withers, Larry and Wei, Linda and Ives, Lloyd and Miller, Lori A. and Carpenter, Lynn and Sharma, Manasa G. and Ricci, Manuel and Binfield, Mark Stewart and Davids, Matthew John and Gaebel, Matthias and Cassidy, Michael D. and Fagiola, Michael and Pfützenreuter, Michael and Barlow, Nova and Triggiani, Peter John and Innes, Renton Braden Mathew and Leduc, Robert and dos Santos Gomes, Rodrigo Luccas Corrêa and Morneau, Rosemarie L. R. and Zaccanelli, Scott J. and Kleinfelter, Susan C. and van der Laan, T. J. A. and Bausewein, Thomas and George, Thomas J. and Mikhail, Varichev and Barmettler, Walter and Crivelli, Silvia N.},
    year = 2018,
    doi = {10.1038/s41598-018-26812-8},
    month = jul,
    journal = {Scientific Reports},
    volume = {8},
    number = {1}
  

2017

• DOI BibTeX
  A. Garcia-Piquer, J. Bacardit, A. Fornells, E. Golobardes
  Scaling-up multiobjective evolutionary clustering algorithms using stratification
  in Pattern Recognition Letters, 93(C):69-77, July 2017

  @ARTICLE{Garcia-Piquer2016,
    title = {Scaling-up multiobjective evolutionary clustering algorithms using stratification},
    author = {Garcia-Piquer, Alvaro and Bacardit, Jaume and Fornells, Albert and Golobardes, Elisabet},
    year = 2017,
    doi = {10.1016/j.patrec.2016.12.001},
    month = jul,
    journal = {Pattern Recognition Letters},
    volume = {93},
    number = {C},
    pages = {69--77}
  }
  

• DOI BibTeX
  J. Kozyra, A. Ceccarelli, E. Torelli, A. Lopiccolo, J. Gu, H. Fellermann, U. Stimming, N. Krasnogor
  Designing Uniquely Addressable Bio-orthogonal Synthetic Scaffolds for DNA and RNA Origami
  in ACS Synthetic Biology, 6(7):1140-1149, July 2017

  @ARTICLE{Kozyra2017,
    title = {Designing Uniquely Addressable Bio-orthogonal Synthetic Scaffolds for DNA and RNA Origami},
    author = {Kozyra, Jerzy and Ceccarelli, Alessandro and Torelli, Emanuela and Lopiccolo, Annunziata and Gu, Jing-Ying and Fellermann, Harold and Stimming, Ulrich and Krasnogor, Natalio},
    year = 2017,
    doi = {10.1021/acssynbio.6b00271},
    month = jul,
    journal = {ACS Synthetic Biology},
    volume = {6},
    number = {7},
    pages = {1140--1149}
  }
  

• DOI BibTeX
  N. Lazzarini, J. Runhaar, A.C. Bay-Jensen, C.S. Thudium, S.M. Bierma-Zeinstra, Y. Henrotin, J. Bacardit
  A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women
  in Osteoarthritis and Cartilage, 25(12):2014-2021, December 2017

  @ARTICLE{Lazzarini2017a,
    title = {A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women},
    author = {Lazzarini, N. and Runhaar, J. and Bay-Jensen, A. C. and Thudium, C. S. and Bierma-Zeinstra, S. M.a. and Henrotin, Y. and Bacardit, J.},
    year = 2017,
    doi = {10.1016/j.joca.2017.09.001},
    month = dec,
    journal = {Osteoarthritis and Cartilage},
    volume = {25},
    number = {12},
    pages = {2014--2021}
  }
  

• DOI BibTeX
  N. Lazzarini, J. Bacardit
  RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers
  in BMC Bioinformatics, 18(1), December 2017

  @ARTICLE{Lazzarini2017,
    title = {RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers},
    author = {Lazzarini, Nicola and Bacardit, Jaume},
    year = 2017,
    doi = {10.1186/s12859-017-1729-2},
    month = dec,
    journal = {BMC Bioinformatics},
    volume = {18},
    number = {1}
  

• DOI BibTeX
  S. Baron, N. Lazzarini, J. Bacardit
  Characterising the Influence of Rule-Based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data
  in Applications of Evolutionary Computation, Lecture Notes in Computer Science 10199, p.125-141, 2017

  @INCOLLECTION{Baron2017,
    title = {Characterising the Influence of Rule-Based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data},
    author = {Baron, Simon and Lazzarini, Nicola and Bacardit, Jaume},
    year = 2017,
    doi = {10.1007/978-3-319-55849-3_9},
    booktitle = {Applications of Evolutionary Computation},
    publisher = {Springer International Publishing},
    volume = {10199},
    series = {Lecture Notes in Computer Science},
    pages = {125--141}
  }
  

• DOI eprint BibTeX
  J. Kozyra, H. Fellermann, B. Shirt-Ediss, A. Lopiccolo, N. Krasnogor
  Optimizing nucleic acid sequences for a molecular data recorder
  in Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '17, p.1145-1152, Berlin, Germany, 2017

  @INPROCEEDINGS{Kozyra2017a,
    title = {Optimizing nucleic acid sequences for a molecular data recorder},
    author = {Kozyra, Jerzy and Fellermann, Harold and Shirt-Ediss, Ben and Lopiccolo, Annunziata and Krasnogor, Natalio},
    year = 2017,
    doi = {10.1145/3071178.3071345},
    booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference on   - GECCO '17},
    pages = {1145--1152},
    address = {Berlin, Germany}
  }
  

2016

• DOI BibTeX
  M.A. Franco, J. Bacardit
  Large-scale experimental evaluation of GPU strategies for evolutionary machine learning
  in Information Sciences, 330(C):385-402, February 2016

  @ARTICLE{Franco2015,
    title = {Large-scale experimental evaluation of GPU strategies for evolutionary machine learning},
    author = {Franco, María A. and Bacardit, Jaume},
    year = 2016,
    doi = {10.1016/j.ins.2015.10.025},
    month = feb,
    journal = {Information Sciences},
    volume = {330},
    number = {C},
    pages = {385--402}
  }
  

• DOI eprint code BibTeX
  N. Lazzarini, P. Widera, S. Williamson, R. Heer, N. Krasnogor, J. Bacardit
  Functional networks inference from rule-based machine learning models
  in BioData Mining, 9(1), December 2016

  @ARTICLE{Lazzarini2016,
    title = {Functional networks inference from rule-based machine learning models},
    author = {Lazzarini, Nicola and Widera, Paweł and Williamson, Stuart and Heer, Rakesh and Krasnogor, Natalio and Bacardit, Jaume},
    year = 2016,
    doi = {10.1186/s13040-016-0106-4},
    month = dec,
    journal = {BioData Mining},
    volume = {9},
    number = {1}
  

• DOI BibTeX
  P.D. Gutiérrez, M. Lastra, J. Bacardit, J.M. Benítez, F. Herrera
  GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs
  in Information Sciences, 373(C):165-182, December 2016

  @ARTICLE{Gutierrez2016,
    title = {GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs},
    author = {Gutiérrez, Pablo D. and Lastra, Miguel and Bacardit, Jaume and Benítez, José M. and Herrera, Francisco},
    year = 2016,
    doi = {10.1016/j.ins.2016.08.089},
    month = dec,
    journal = {Information Sciences},
    volume = {373},
    number = {C},
    pages = {165--182}
  }
  

2015

• DOI eprint code BibTeX
  D. Sanassy, P. Widera, N. Krasnogor
  Meta-Stochastic Simulation of Biochemical Models for Systems and Synthetic Biology
  in ACS Synthetic Biology, 4(1):39-47, January 2015

  @ARTICLE{Sanassy2014,
    title = {Meta-Stochastic Simulation of Biochemical Models for Systems and Synthetic Biology},
    author = {Sanassy, Daven and Widera, Paweł and Krasnogor, Natalio},
    year = 2015,
    doi = {10.1021/sb5001406},
    month = jan,
    journal = {ACS Synthetic Biology},
    volume = {4},
    number = {1},
    pages = {39--47}
  }
  

• DOI BibTeX
  A. Swan, D. Stekel, C. Hodgman, D. Allaway, M. Alqahtani, A. Mobasheri, J. Bacardit
  A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data
  in BMC Genomics, 16(Suppl 1):S2, January 2015

  @ARTICLE{Swan2015,
    title = {A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data},
    author = {Swan, A.L. and Stekel, D.J. and Hodgman, C. and Allaway, D. and Alqahtani, M.H. and Mobasheri, A. and Bacardit, J.},
    year = 2015,
    doi = {10.1186/1471-2164-16-S1-S2},
    month = jan,
    journal = {BMC Genomics},
    volume = {16},
    number = {Suppl 1},
    pages = {S2}
  }
  

• DOI BibTeX
  F. Eduati, L.M. Mangravite, T. Wang, H. Tang, J.C. Bare, R. Huang, T. Norman, M. Kellen, M.P. Menden, J. Yang, X. Zhan, R. Zhong, G. Xiao, M. Xia, N. Abdo, O. Kosyk, F. Eduati, L.M. Mangravite, J.C. Bare, T. Norman, M. Kellen, M.P. Menden, S. Friend, G. Stolovitzky, A. Dearry, R.R. Tice, R. Huang, M. Xia, A. Simeonov, N. Abdo, O. Kosyk, I. Rusyn, et al.
  Prediction of human population responses to toxic compounds by a collaborative competition
  in Nature Biotechnology, 33(9):933-940, August 2015

  @ARTICLE{Eduati2015,
    title = {Prediction of human population responses to toxic compounds by a collaborative competition},
    author = {Eduati, Federica and Mangravite, Lara M and Wang, Tao and Tang, Hao and Bare, J Christopher and Huang, Ruili and Norman, Thea and Kellen, Mike and Menden, Michael P and Yang, Jichen and Zhan, Xiaowei and Zhong, Rui and Xiao, Guanghua and Xia, Menghang and Abdo, Nour and Kosyk, Oksana and Eduati, Federica and Mangravite, Lara M and Bare, J Christopher and Norman, Thea and Kellen, Mike and Menden, Michael P and Friend, Stephen and Stolovitzky, Gustavo and Dearry, Allen and Tice, Raymond R and Huang, Ruili and Xia, Menghang and Simeonov, Anton and Abdo, Nour and Kosyk, Oksana and Rusyn, Ivan and Wright, Fred A and Wang, Tao and Tang, Hao and Zhan, Xiaowei and Yang, Jichen and Zhong, Rui and Xiao, Guanghua and Xie, Yang and Tang, Hao and Yang, Jichen and Wang, Tao and Xiao, Guanghua and Xie, Yang and Alaimo, Salvatore and Amadoz, Alicia and Ammad-Ud-din, Muhammad and Azencott, Chloé-Agathe and Bacardit, Jaume and Barron, Pelham and Bernard, Elsa and Beyer, Andreas and Bin, Shao and van Bömmel, Alena and Borgwardt, Karsten and Brys, April M and Caffrey, Brian and Chang, Jeffrey and Chang, Jungsoo and Christodoulou, Eleni G and Clément-Ziza, Mathieu and Cohen, Trevor and Cowherd, Marianne and Demeyer, Sofie and Dopazo, Joaquin and Elhard, Joel D and Falcao, Andre O and Ferro, Alfredo and Friedenberg, David A and Giugno, Rosalba and Gong, Yunguo and Gorospe, Jenni W and Granville, Courtney A and Grimm, Dominik and Heinig, Matthias and Hernansaiz, Rosa D and Hochreiter, Sepp and Huang, Liang-Chin and Huska, Matthew and Jiao, Yunlong and Klambauer, Günter and Kuhn, Michael and Kursa, Miron Bartosz and Kutum, Rintu and Lazzarini, Nicola and Lee, Inhan and Leung, Michael K K and Lim, Weng Khong and Liu, Charlie and López, Felipe Llinares and Mammana, Alessandro and Mayr, Andreas and Michoel, Tom and Mongiovì, Misael and Moore, Jonathan D and Narasimhan, Ravi and Opiyo, Stephen O and Pandey, Gaurav and Peabody, Andrea L and Perner, Juliane and Pulvirenti, Alfredo and Rawlik, Konrad and Reinhardt, Susanne and Riffle, Carol G and Ruderfer, Douglas and Sander, Aaron J and Savage, Richard S and Scornet, Erwan and Sebastian-Leon, Patricia and Sharan, Roded and Simon-Gabriel, Carl Johann and Stoven, Veronique and Sun, Jingchun and Tang, Hao and Teixeira, Ana L and Tenesa, Albert and Vert, Jean-Philippe and Vingron, Martin and Wang, Tao and Walter, Thomas and Whalen, Sean and Wiśniewska, Zofia and Wu, Yonghui and Xiao, Guanghua and Xie, Yang and Xu, Hua and Yang, Jichen and Zhan, Xiaowei and Zhang, Shihua and Zhao, Junfei and Zheng, W Jim and Zhong, Rui and Ziwei, Dai and Friend, Stephen and Dearry, Allen and Simeonov, Anton and Tice, Raymond R and Rusyn, Ivan and Wright, Fred A and Stolovitzky, Gustavo and Xie, Yang and Saez-Rodriguez, Julio},
    year = 2015,
    doi = {10.1038/nbt.3299},
    month = aug,
    journal = {Nature Biotechnology},
    volume = {33},
    number = {9},
    pages = {933--940}
  }
  

• DOI BibTeX
  I. Triguero, S. del Río, V. López, J. Bacardit, J.M. Benítez, F. Herrera
  ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem
  in Knowledge-Based Systems, 87(C):69-79, October 2015

  @ARTICLE{Triguero2015,
    title = {ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem},
    author = {Triguero, Isaac and del Río, Sara and López, Victoria and Bacardit, Jaume and Benítez, José M. and Herrera, Francisco},
    year = 2015,
    doi = {10.1016/j.knosys.2015.05.027},
    month = oct,
    journal = {Knowledge-Based Systems},
    volume = {87},
    number = {C},
    pages = {69--79}
  }
  

• DOI BibTeX
  M. Martínez-Ballesteros, J. Bacardit, A. Troncoso, J.C. Riquelme
  Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
  in Integrated Computer-Aided Engineering, 22(1):21-39, 2015

  @ARTICLE{Martinez-Ballesteros2015,
    title = {Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets},
    author = {Martínez-Ballesteros, María and Bacardit, Jaume and Troncoso, Alicia and Riquelme, José C},
    year = 2015,
    doi = {10.3233/ICA-140479},
    journal = {Integrated Computer-Aided Engineering},
    volume = {22},
    number = {1},
    pages = {21--39}
  }
  

2014

• DOI BibTeX
  A. Garcia-Piquer, A. Fornells, J. Bacardit, A. Orriols-Puig, E. Golobardes
  Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering
  in IEEE Transactions on Evolutionary Computation, 18(1):36-53, February 2014

  @ARTICLE{Garcia-Piquer2014,
    title = {Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering},
    author = {Garcia-Piquer, Alvaro and Fornells, Albert and Bacardit, Jaume and Orriols-Puig, Albert and Golobardes, Elisabet},
    year = 2014,
    doi = {10.1109/TEVC.2013.2281513},
    month = feb,
    journal = {IEEE Transactions on Evolutionary Computation},
    volume = {18},
    number = {1},
    pages = {36--53}
  }
  

• DOI BibTeX
  J.S. Hallinan, O. Gilfellon, G. Misirli, A. Wipat
  Tuning receiver characteristics in bacterial quorum communication: An evolutionary approach using standard virtual biological parts
  in 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, p.1-8, Honolulu, HI, USA, May 2014

  @INPROCEEDINGS{Hallinan2014,
    title = {Tuning receiver characteristics in bacterial quorum communication: An evolutionary approach using standard virtual biological parts},
    author = {Hallinan, J. S. and Gilfellon, O. and Misirli, G. and Wipat, A.},
    year = 2014,
    doi = {10.1109/CIBCB.2014.6845520},
    month = may,
    booktitle = {2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology},
    pages = {1--8},
    address = {Honolulu, HI, USA}
  }
  

• DOI BibTeX
  I. Triguero, D. Peralta, J. Bacardit, S. Garcia, F. Herrera
  A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation
  in 2014 IEEE Congress on Evolutionary Computation (CEC), p.3036-3043, Beijing, China, July 2014

  @INPROCEEDINGS{Triguero2014,
    title = {A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation},
    author = {Triguero, Isaac and Peralta, Daniel and Bacardit, Jaume and Garcia, Salvador and Herrera, Francisco},
    year = 2014,
    doi = {10.1109/CEC.2014.6900490},
    month = jul,
    booktitle = {2014 IEEE Congress on Evolutionary Computation (CEC)},
    pages = {3036--3043},
    address = {Beijing, China}
  }
  

• DOI BibTeX
  J. Blakes, O. Raz, U. Feige, J. Bacardit, P. Widera, T. Ben-Yehezkel, E. Shapiro, N. Krasnogor
  Heuristic for Maximizing DNA Reuse in Synthetic DNA Library Assembly
  in ACS Synthetic Biology, 3(8):529-542, August 2014

  @ARTICLE{Blakes2014,
    title = {Heuristic for Maximizing DNA Reuse in Synthetic DNA Library Assembly},
    author = {Blakes, Jonathan and Raz, Ofir and Feige, Uriel and Bacardit, Jaume and Widera, Paweł and Ben-Yehezkel, Tuval and Shapiro, Ehud and Krasnogor, Natalio},
    year = 2014,
    doi = {10.1021/sb400161v},
    month = aug,
    journal = {ACS Synthetic Biology},
    volume = {3},
    number = {8},
    pages = {529--542}
  }
  

• DOI BibTeX
  J. Bacardit, P. Widera, N. Lazzarini, N. Krasnogor
  Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example
  in Big Data, 2(3):164-176, September 2014

  @ARTICLE{Bacardit2014,
    title = {Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example},
    author = {Bacardit, Jaume and Widera, Paweł and Lazzarini, Nicola and Krasnogor, Natalio},
    year = 2014,
    doi = {10.1089/big.2014.0023},
    month = sep,
    journal = {Big Data},
    volume = {2},
    number = {3},
    pages = {164--176}
  }
  

• DOI
  I. Contreras, I. Arnaldo, N. Krasnogor, J.I. Hidalgo
  Blind optimisation problem instance classification via enhanced universal similarity metric
  in Memetic Computing, available online since November 2014
• DOI BibTeX
  M.M. Alkurashi, S.T. May, K. Kong, J. Bacardit, D. Haig, H.M. Elsheikha
  Susceptibility to experimental infection of the invertebrate locusts ( Schistocerca gregaria ) with the apicomplexan parasite Neospora caninum
  in PeerJ, 2:e674, December 2014

  @ARTICLE{Alkurashi2014,
    title = {Susceptibility to experimental infection of the invertebrate locusts ( Schistocerca gregaria ) with the apicomplexan parasite Neospora caninum },
    author = {Alkurashi, Mamdowh M. and May, Sean T. and Kong, Kenny and Bacardit, Jaume and Haig, David and Elsheikha, Hany M.},
    year = 2014,
    doi = {10.7717/peerj.674},
    month = dec,
    journal = {PeerJ},
    volume = {2},
    pages = {e674}
  }
  

2013

• DOI BibTeX
  J. Bacardit, X. Llorà
  Large-scale data mining using genetics-based machine learning
  in Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 3(1):37-61, January 2013

  @ARTICLE{Bacardit2013,
    title = {Large-scale data mining using genetics-based machine learning},
    author = {Bacardit, Jaume and Llorà, Xavier},
    year = 2013,
    doi = {10.1002/widm.1078},
    month = jan,
    journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
    volume = {3},
    number = {1},
    pages = {37--61}
  }
  

• DOI BibTeX
  J. Sun, J.M. Garibaldi, N. Krasnogor, Q. Zhang
  An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation
  in Evolutionary Computation, 21(1):107-147, March 2013

  @ARTICLE{Sun2013,
    title = {An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation},
    author = {Sun, J. and Garibaldi, J. M. and Krasnogor, N. and Zhang, Q.},
    year = 2013,
    doi = {10.1162/EVCO_a_00068},
    month = mar,
    journal = {Evolutionary Computation},
    volume = {21},
    number = {1},
    pages = {107--147}
  }
  

• DOI BibTeX
  G. Terrazas, N. Krasnogor
  A genotype-phenotype-fitness assessment protocol for evolutionary self-assembly Wang tiles design
  in Memetic Computing, 5(1):19-33, March 2013

  @ARTICLE{Terrazas2013,
    title = {A genotype-phenotype-fitness assessment protocol for evolutionary self-assembly Wang tiles design},
    author = {Terrazas, Germán and Krasnogor, Natalio},
    year = 2013,
    doi = {10.1007/s12293-012-0092-0},
    month = mar,
    journal = {Memetic Computing},
    volume = {5},
    number = {1},
    pages = {19--33}
  }
  

• DOI BibTeX
  M.A. Franco, N. Krasnogor, J. Bacardit
  GAssist vs. BioHEL: critical assessment of two paradigms of genetics-based machine learning
  in Soft Computing, 17(6):953-981, June 2013

  @ARTICLE{Franco2013,
    title = {GAssist vs. BioHEL: critical assessment of two paradigms of genetics-based machine learning},
    author = {Franco, María A. and Krasnogor, Natalio and Bacardit, Jaume},
    year = 2013,
    doi = {10.1007/s00500-013-1016-8},
    month = jun,
    journal = {Soft Computing},
    volume = {17},
    number = {6},
    pages = {953--981}
  }
  

• DOI BibTeX
  D.A. Calian, J. Bacardit
  Integrating memetic search into the BioHEL evolutionary learning system for large-scale datasets
  in Memetic Computing, 5(2):95-130, June 2013

  @ARTICLE{Calian2013,
    title = {Integrating memetic search into the BioHEL evolutionary learning system for large-scale datasets},
    author = {Calian, Dan Andrei and Bacardit, Jaume},
    year = 2013,
    doi = {10.1007/s12293-013-0108-4},
    month = jun,
    journal = {Memetic Computing},
    volume = {5},
    number = {2},
    pages = {95--130}
  }
  

• DOI BibTeX
  I. Arnaldo, I. Contreras, D. Millán-Ruiz, J.I. Hidalgo, N. Krasnogor
  Matching island topologies to problem structure in parallel evolutionary algorithms
  in Soft Computing, 17(7):1209-1225, July 2013

  @ARTICLE{Arnaldo2013,
    title = {Matching island topologies to problem structure in parallel evolutionary algorithms},
    author = {Arnaldo, Ignacio and Contreras, Iván and Millán-Ruiz, David and Hidalgo, J. Ignacio and Krasnogor, Natalio},
    year = 2013,
    doi = {10.1007/s00500-013-0995-9},
    month = jul,
    journal = {Soft Computing},
    volume = {17},
    number = {7},
    pages = {1209--1225}
  }
  

• DOI BibTeX
  P. Zuliani, A. Platzer, E.M. Clarke
  Bayesian statistical model checking with application to Stateflow/Simulink verification
  in Formal Methods in System Design, 43(2):338-367, October 2013

  @ARTICLE{Zuliani2013,
    title = {Bayesian statistical model checking with application to Stateflow/Simulink verification},
    author = {Zuliani, Paolo and Platzer, André and Clarke, Edmund M.},
    year = 2013,
    doi = {10.1007/s10703-013-0195-3},
    month = oct,
    journal = {Formal Methods in System Design},
    volume = {43},
    number = {2},
    pages = {338--367}
  }
  

• DOI BibTeX
  A.L. Swan, A. Mobasheri, D. Allaway, S. Liddell, J. Bacardit
  Application of Machine Learning to Proteomics Data: Classification and Biomarker Identification in Postgenomics Biology
  in OMICS: A Journal of Integrative Biology, 17(12):595-610, December 2013

  @ARTICLE{Swan2013,
    title = {Application of Machine Learning to Proteomics Data: Classification and Biomarker Identification in Postgenomics Biology},
    author = {Swan, Anna Louise and Mobasheri, Ali and Allaway, David and Liddell, Susan and Bacardit, Jaume},
    year = 2013,
    doi = {10.1089/omi.2013.0017},
    month = dec,
    journal = {OMICS: A Journal of Integrative Biology},
    volume = {17},
    number = {12},
    pages = {595--610}
  }
  

• DOI BibTeX
  A.L. Swan, K.L. Hillier, J.R. Smith, D. Allaway, S. Liddell, J. Bacardit, A. Mobasheri
  Analysis of mass spectrometry data from the secretome of an explant model of articular cartilage exposed to pro-inflammatory and anti-inflammatory stimuli using machine learning
  in BMC Musculoskeletal Disorders, 14(1):349, 2013

  @ARTICLE{Swan2013a,
    title = {Analysis of mass spectrometry data from the secretome of an explant model of articular cartilage exposed to pro-inflammatory and anti-inflammatory stimuli using machine learning},
    author = {Swan, Anna L and Hillier, Kirsty L and Smith, Julia R and Allaway, David and Liddell, Susan and Bacardit, Jaume and Mobasheri, Ali},
    year = 2013,
    doi = {10.1186/1471-2474-14-349},
    journal = {BMC Musculoskeletal Disorders},
    volume = {14},
    number = {1},
    pages = {349}
  }
  

2012

• DOI slides data BibTeX
  M.A. Franco, N. Krasnogor, J. Bacardit
  Analysing BioHEL using challenging boolean functions
  in Evolutionary Intelligence, 5(2):87-102, June 2012

  @ARTICLE{Franco2012,
    title = {Analysing BioHEL using challenging boolean functions},
    author = {Franco, María A. and Krasnogor, Natalio and Bacardit, Jaume},
    year = 2012,
    doi = {10.1007/s12065-012-0080-9},
    month = jun,
    journal = {Evolutionary Intelligence},
    volume = {5},
    number = {2},
    pages = {87--102}
  }
  

• DOI data BibTeX
  E. Glaab, J. Bacardit, J.M. Garibaldi, N. Krasnogor
  Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data
  in PLoS ONE, 7(7):e39932, July 2012

  @ARTICLE{Glaab2012,
    title = {Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data},
    author = {Glaab, Enrico and Bacardit, Jaume and Garibaldi, Jonathan M. and Krasnogor, Natalio},
    year = 2012,
    doi = {10.1371/journal.pone.0039932},
    month = jul,
    journal = {PLoS ONE},
    volume = {7},
    number = {7},
    pages = {e39932}
  }
  

• DOI BibTeX
  D. Henriques, J.G. Martins, P. Zuliani, A. Platzer, E.M. Clarke
  Statistical Model Checking for Markov Decision Processes
  in 2012 Ninth International Conference on Quantitative Evaluation of Systems, p.84-93, London, United Kingdom, September 2012

  @INPROCEEDINGS{Henriques2012,
    title = {Statistical Model Checking for Markov Decision Processes},
    author = {Henriques, David and Martins, Joao G. and Zuliani, Paolo and Platzer, Andre and Clarke, Edmund M.},
    year = 2012,
    doi = {10.1109/QEST.2012.19},
    month = sep,
    booktitle = {2012 Ninth International Conference on Quantitative Evaluation of Systems},
    pages = {84--93},
    address = {London, United Kingdom}
  }
  

• DOI eprint slides BibTeX
  J. Bacardit, P. Widera, A. Marquez-Chamorro, F. Divina, J.S. Aguilar-Ruiz, N. Krasnogor
  Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features
  in Bioinformatics, 28(19):2441-2448, October 2012

  @ARTICLE{Bacardit2012,
    title = {Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features},
    author = {Bacardit, J. and Widera, P. and Marquez-Chamorro, A. and Divina, F. and Aguilar-Ruiz, J. S. and Krasnogor, N.},
    year = 2012,
    doi = {10.1093/bioinformatics/bts472},
    month = oct,
    journal = {Bioinformatics},
    volume = {28},
    number = {19},
    pages = {2441--2448}
  }
  

• DOI BibTeX
  P. Zuliani, C. Baier, E.M. Clarke
  Rare-event verification for stochastic hybrid systems
  in Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control - HSCC '12, p.217, Beijing, China, 2012

  @INPROCEEDINGS{Zuliani2012,
    title = {Rare-event verification for stochastic hybrid systems},
    author = {Zuliani, Paolo and Baier, Christel and Clarke, Edmund M.},
    year = 2012,
    doi = {10.1145/2185632.2185665},
    booktitle = {Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control - HSCC '12},
    pages = {217},
    address = {Beijing, China}
  }
  

• DOI BibTeX
  G. Terrazas, N. Krasnogor
  Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-assembly Wang Tiles
  in Nature Inspired Cooperative Strategies for Optimization (NICSO 2011), Studies in Computational Intelligence 387, p.73-84, 2012

  @INCOLLECTION{Terrazas2012,
    title = {Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-assembly Wang Tiles},
    author = {Terrazas, Germán and Krasnogor, Natalio},
    year = 2012,
    doi = {10.1007/978-3-642-24094-2_5},
    booktitle = {Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)},
    publisher = {Springer Berlin Heidelberg},
    volume = {387},
    series = {Studies in Computational Intelligence},
    pages = {73--84}
  }
  

• DOI slides code BibTeX
  M.A. Franco, N. Krasnogor, J. Bacardit
  Post-processing operators for decision lists
  in Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference - GECCO '12, p.847, Philadelphia, Pennsylvania, USA, 2012

  @INPROCEEDINGS{Franco2012a,
    title = {Post-processing operators for decision lists},
    author = {Franco, Maria A. and Krasnogor, Natalio and Bacardit, Jaume},
    year = 2012,
    doi = {10.1145/2330163.2330281},
    booktitle = {Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference - GECCO '12},
    pages = {847},
    address = {Philadelphia, Pennsylvania, USA}
  }
  

2011

• DOI BibTeX
  Y. Wang, A. Komuravelli, P. Zuliani, E.M. Clarke
  Analog circuit verification by statistical model checking
  in 16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011), p.1-6, Yokohama, Japan, January 2011

  @INPROCEEDINGS{Wang2011,
    title = {Analog circuit verification by statistical model checking},
    author = {Wang, Ying-Chih and Komuravelli, Anvesh and Zuliani, Paolo and Clarke, Edmund M.},
    year = 2011,
    doi = {10.1109/ASPDAC.2011.5722168},
    month = jan,
    booktitle = {16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011)},
    pages = {1--6},
    address = {Yokohama, Japan}
  }
  

• DOI BibTeX
  G.W. Bassel, E. Glaab, J. Marquez, M.J. Holdsworth, J. Bacardit
  Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets
  in THE PLANT CELL ONLINE, 23(9):3101-3116, September 2011

  @ARTICLE{Bassel2011,
    title = {Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets},
    author = {Bassel, G. W. and Glaab, E. and Marquez, J. and Holdsworth, M. J. and Bacardit, J.},
    year = 2011,
    doi = {10.1105/tpc.111.088153},
    month = sep,
    journal = {THE PLANT CELL ONLINE},
    volume = {23},
    number = {9},
    pages = {3101--3116}
  }
  

• DOI slides BibTeX
  M.A. Franco, N. Krasnogor, J. Bacardit
  Modelling the initialisation stage of the ALKR representation for discrete domains and GABIL encoding
  in Proceedings of the 13th annual conference on Genetic and evolutionary computation - GECCO '11, p.1291, Dublin, Ireland, 2011
  Best Paper Award in GBML track

  @INPROCEEDINGS{Franco2011,
    title = {Modelling the initialisation stage of the ALKR representation for discrete domains and GABIL encoding},
    author = {Franco, Maria A. and Krasnogor, Natalio and Bacardit, Jaume},
    year = 2011,
    doi = {10.1145/2001576.2001750},
    note = {Best Paper Award in GBML track},
    booktitle = {Proceedings of the 13th annual conference on Genetic and evolutionary computation - GECCO '11},
    pages = {1291},
    address = {Dublin, Ireland}
  }
  

• DOI BibTeX
  H.L.S. Younes, E.M. Clarke, P. Zuliani
  Statistical Verification of Probabilistic Properties with Unbounded Until
  in Formal Methods: Foundations and Applications, Lecture Notes in Computer Science 6527, p.144-160, 2011

  @INCOLLECTION{Younes2011,
    title = {Statistical Verification of Probabilistic Properties with Unbounded Until},
    author = {Younes, Håkan L. S. and Clarke, Edmund M. and Zuliani, Paolo},
    year = 2011,
    doi = {10.1007/978-3-642-19829-8_10},
    booktitle = {Formal Methods: Foundations and Applications},
    publisher = {Springer Berlin Heidelberg},
    volume = {6527},
    series = {Lecture Notes in Computer Science},
    pages = {144--160}
  }
  

• DOI BibTeX
  R.A.J. Woolley, J. Stirling, A. Radocea, N. Krasnogor, P. Moriarty
  Automated probe microscopy via evolutionary optimization at the atomic scale
  in Applied Physics Letters, 98(25):253104, 2011

  @ARTICLE{Woolley2011,
    title = {Automated probe microscopy via evolutionary optimization at the atomic scale},
    author = {Woolley, Richard A. J. and Stirling, Julian and Radocea, Adrian and Krasnogor, Natalio and Moriarty, Philip},
    year = 2011,
    doi = {10.1063/1.3600662},
    journal = {Applied Physics Letters},
    volume = {98},
    number = {25},
    pages = {253104}
  }
  

• DOI BibTeX
  E.M. Clarke, P. Zuliani
  Statistical Model Checking for Cyber-Physical Systems
  in Automated Technology for Verification and Analysis, Lecture Notes in Computer Science 6996, p.1-12, 2011

  @INCOLLECTION{Clarke2011,
    title = {Statistical Model Checking for Cyber-Physical Systems},
    author = {Clarke, Edmund M. and Zuliani, Paolo},
    year = 2011,
    doi = {10.1007/978-3-642-24372-1_1},
    booktitle = {Automated Technology for Verification and Analysis},
    publisher = {Springer Berlin Heidelberg},
    volume = {6996},
    series = {Lecture Notes in Computer Science},
    pages = {1--12}
  }
  

2010

• DOI BibTeX
  H. Cao, F.J. Romero-Campero, S. Heeb, M. Cámara, N. Krasnogor
  Evolving cell models for systems and synthetic biology
  in Systems and Synthetic Biology, 4(1):55-84, March 2010

  @ARTICLE{Cao2010,
    title = {Evolving cell models for systems and synthetic biology},
    author = {Cao, Hongqing and Romero-Campero, Francisco J. and Heeb, Stephan and Cámara, Miguel and Krasnogor, Natalio},
    year = 2010,
    doi = {10.1007/s11693-009-9050-7},
    month = mar,
    journal = {Systems and Synthetic Biology},
    volume = {4},
    number = {1},
    pages = {55--84}
  }
  

• DOI BibTeX
  R.E. Smith, M.K. Jiang, J. Bacardit, M. Stout, N. Krasnogor, J.D. Hirst
  A learning classifier system with mutual-information-based fitness
  in Evolutionary Intelligence, 3(1):31-50, March 2010

  @ARTICLE{Smith2010,
    title = {A learning classifier system with mutual-information-based fitness},
    author = {Smith, Robert Elliott and Jiang, Max Kun and Bacardit, Jaume and Stout, Michael and Krasnogor, Natalio and Hirst, Jonathan D.},
    year = 2010,
    doi = {10.1007/s12065-010-0037-9},
    month = mar,
    journal = {Evolutionary Intelligence},
    volume = {3},
    number = {1},
    pages = {31--50}
  }
  

• DOI eprint data BibTeX
  P. Widera, J.M. Garibaldi, N. Krasnogor
  GP challenge: evolving energy function for protein structure prediction
  in Genetic Programming and Evolvable Machines, 11(1):61-88, March 2010

  @ARTICLE{Widera2010,
    title = {GP challenge: evolving energy function for protein structure prediction},
    author = {Widera, Paweł and Garibaldi, Jonathan M. and Krasnogor, Natalio},
    year = 2010,
    doi = {10.1007/s10710-009-9087-0},
    month = mar,
    journal = {Genetic Programming and Evolvable Machines},
    volume = {11},
    number = {1},
    pages = {61--88}
  }
  

• DOI eprint BibTeX
  G. Terrazas, D. Landa-Silva, N. Krasnogor
  Towards the Design of Heuristics by Means of Self-Assembly
  in Electronic Proceedings in Theoretical Computer Science, 26:135-146, June 2010

  @ARTICLE{Terrazas2010a,
    title = {Towards the Design of Heuristics by Means of Self-Assembly},
    author = {Terrazas, German and Landa-Silva, Dario and Krasnogor, Natalio},
    year = 2010,
    doi = {10.4204/EPTCS.26.13},
    month = jun,
    journal = {Electronic Proceedings in Theoretical Computer Science},
    volume = {26},
    pages = {135--146}
  }
  

• DOI eprint BibTeX
  G. Terrazas, N. Krasnogor
  Grammatical rules for the automated construction of heuristics
  in IEEE Congress on Evolutionary Computation, p.1-8, Barcelona, Spain, July 2010

  @INPROCEEDINGS{Terrazas2010,
    title = {Grammatical rules for the automated construction of heuristics},
    author = {Terrazas, German and Krasnogor, Natalio},
    year = 2010,
    doi = {10.1109/CEC.2010.5586192},
    month = jul,
    booktitle = {IEEE Congress on Evolutionary Computation},
    pages = {1--8},
    address = {Barcelona, Spain}
  }
  

• DOI BibTeX
  J.S. Hallinan, G. Misirli, A. Wipat
  Evolutionary computation for the design of a stochastic switch for synthetic genetic circuits
  in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, p.768-774, Buenos Aires, August 2010

  @INPROCEEDINGS{Hallinan2010,
    title = {Evolutionary computation for the design of a stochastic switch for synthetic genetic circuits},
    author = {Hallinan, J S and Misirli, G and Wipat, A},
    year = 2010,
    doi = {10.1109/IEMBS.2010.5626353},
    month = aug,
    booktitle = {2010 Annual International Conference of the IEEE Engineering in Medicine and Biology},
    pages = {768--774},
    address = {Buenos Aires}
  }
  

• DOI eprint BibTeX
  P. Widera, J. Bacardit, N. Krasnogor, C. García-Martínez, M. Lozano
  Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology
  in Proceedings of the 12th annual conference comp on Genetic and evolutionary computation - GECCO '10, p.1991, Portland, Oregon, USA, 2010

  @INPROCEEDINGS{Widera2010a,
    title = {Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology},
    author = {Widera, Paweł and Bacardit, Jaume and Krasnogor, Natalio and García-Martínez, Carlos and Lozano, Manuel},
    year = 2010,
    doi = {10.1145/1830761.1830842},
    booktitle = {Proceedings of the 12th annual conference comp on Genetic and evolutionary computation - GECCO '10},
    pages = {1991},
    address = {Portland, Oregon, USA}
  }
  

• DOI BibTeX
  P. Zuliani, A. Platzer, E.M. Clarke
  Bayesian statistical model checking with application to Simulink/Stateflow verification
  in Proceedings of the 13th ACM international conference on Hybrid systems: computation and control - HSCC '10, p.243, Stockholm, Sweden, 2010

  @INPROCEEDINGS{Zuliani2010,
    title = {Bayesian statistical model checking with application to Simulink/Stateflow verification},
    author = {Zuliani, Paolo and Platzer, André and Clarke, Edmund M.},
    year = 2010,
    doi = {10.1145/1755952.1755987},
    booktitle = {Proceedings of the 13th ACM international conference on Hybrid systems: computation and control - HSCC '10},
    pages = {243},
    address = {Stockholm, Sweden}
  }
  

• DOI eprint slides BibTeX
  M.A. Franco, N. Krasnogor, J. Bacardit
  Speeding up the evaluation of evolutionary learning systems using GPGPUs
  in Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10, p.1039, Portland, Oregon, USA, 2010
  Best Paper Award in the GBML track

  @INPROCEEDINGS{Franco2010,
    title = {Speeding up the evaluation of evolutionary learning systems using GPGPUs},
    author = {Franco, María A. and Krasnogor, Natalio and Bacardit, Jaume},
    year = 2010,
    doi = {10.1145/1830483.1830672},
    note = {Best Paper Award in the GBML track},
    booktitle = {Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10},
    pages = {1039},
    address = {Portland, Oregon, USA}
  }
  

• DOI BibTeX
  J. Bacardit, W. Browne, J. Drugowitsch, E. Bernadó-Mansilla, M.V. Butz
  Learning Classifier Systems
  Lecture Notes in Computer Science 6471, Springer Berlin Heidelberg, 2010

  @BOOK{Bacardit2010,
    title = {Learning Classifier Systems},
    author = {Bacardit, Jaume and Browne, Will and Drugowitsch, Jan and Bernadó-Mansilla, Ester and Butz, Martin V.},
    year = 2010,
    doi = {10.1007/978-3-642-17508-4},
    publisher = {Springer Berlin Heidelberg},
    volume = {6471},
    series = {Lecture Notes in Computer Science}
  }
  

• DOI slides BibTeX
  M.A. Franco, N. Krasnogor, J. Bacardit
  Analysing bioHEL using challenging boolean functions
  in Proceedings of the 12th annual conference comp on Genetic and evolutionary computation - GECCO '10, p.1855, Portland, Oregon, USA, 2010

  @INPROCEEDINGS{Franco2010a,
    title = {Analysing bioHEL using challenging boolean functions},
    author = {Franco, Maria A. and Krasnogor, Natalio and Bacardit, Jaume},
    year = 2010,
    doi = {10.1145/1830761.1830817},
    booktitle = {Proceedings of the 12th annual conference comp on Genetic and evolutionary computation - GECCO '10},
    pages = {1855},
    address = {Portland, Oregon, USA}
  }
  

• DOI BibTeX
  C. García-Martínez, C. Lima, J. Twycross, N. Krasnogor, M. Lozano
  P system model optimisation by means of evolutionary based search algorithms
  in Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10, p.187, Portland, Oregon, USA, 2010

  @INPROCEEDINGS{Garcia-Martinez2010,
    title = {P system model optimisation by means of evolutionary based search algorithms},
    author = {García-Martínez, Carlos and Lima, Claudio and Twycross, Jamie and Krasnogor, Natalio and Lozano, Manuel},
    year = 2010,
    doi = {10.1145/1830483.1830517},
    booktitle = {Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10},
    pages = {187},
    address = {Portland, Oregon, USA}
  }
  

• DOI BibTeX
  G. Terrazas, D. Landa-Silva, N. Krasnogor
  Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics
  in Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), Studies in Computational Intelligence 284, p.89-100, 2010

  @INCOLLECTION{Terrazas2010b,
    title = {Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics},
    author = {Terrazas, Germán and Landa-Silva, Dario and Krasnogor, Natalio},
    year = 2010,
    doi = {10.1007/978-3-642-12538-6_8},
    booktitle = {Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)},
    publisher = {Springer Berlin Heidelberg},
    volume = {284},
    series = {Studies in Computational Intelligence},
    pages = {89--100}
  }
  

2009

• DOI BibTeX
  M. Stout, J. Bacardit, J.D. Hirst, R.E. Smith, N. Krasnogor
  Prediction of topological contacts in proteins using learning classifier systems
  in Soft Computing, 13(3):245-258, February 2009

  @ARTICLE{Stout2009,
    title = {Prediction of topological contacts in proteins using learning classifier systems},
    author = {Stout, Michael and Bacardit, Jaume and Hirst, Jonathan D. and Smith, Robert E. and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1007/s00500-008-0318-8},
    month = feb,
    journal = {Soft Computing},
    volume = {13},
    number = {3},
    pages = {245--258}
  }
  

• DOI BibTeX
  J. Alcalá-Fdez, L. Sánchez, S. García, M.J. del Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández, F. Herrera
  KEEL: a software tool to assess evolutionary algorithms for data mining problems
  in Soft Computing, 13(3):307-318, February 2009

  @ARTICLE{Alcala-Fdez2009,
    title = {KEEL: a software tool to assess evolutionary algorithms for data mining problems},
    author = {Alcalá-Fdez, J. and Sánchez, L. and García, S. and del Jesus, M. J. and Ventura, S. and Garrell, J. M. and Otero, J. and Romero, C. and Bacardit, J. and Rivas, V. M. and Fernández, J. C. and Herrera, F.},
    year = 2009,
    doi = {10.1007/s00500-008-0323-y},
    month = feb,
    journal = {Soft Computing},
    volume = {13},
    number = {3},
    pages = {307--318}
  }
  

• DOI eprint BibTeX
  J. Bacardit, E.K. Burke, N. Krasnogor
  Improving the scalability of rule-based evolutionary learning
  in Memetic Computing, 1(1):55-67, March 2009

  @ARTICLE{Bacardit2009,
    title = {Improving the scalability of rule-based evolutionary learning},
    author = {Bacardit, Jaume and Burke, Edmund K. and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1007/s12293-008-0005-4},
    month = mar,
    journal = {Memetic Computing},
    volume = {1},
    number = {1},
    pages = {55--67}
  }
  

• DOI eprint BibTeX
  L. Fiaschi, J.M. Garibaldi, N. Krasnogora
  A framework for the application of decision trees to the analysis of SNPs data
  in 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, p.106-113, Nashville, TN, USA, March 2009

  @INPROCEEDINGS{Fiaschi2009,
    title = {A framework for the application of decision trees to the analysis of SNPs data},
    author = {Fiaschi, Linda and Garibaldi, Jonathan M. and Krasnogora, Natalio},
    year = 2009,
    doi = {10.1109/CIBCB.2009.4925715},
    month = mar,
    booktitle = {2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology},
    pages = {106--113},
    address = {Nashville, TN, USA}
  }
  

• DOI eprint BibTeX
  P. Widera, J.M. Garibaldi, N. Krasnogor
  Evolutionary design of the energy function for protein structure prediction
  in 2009 IEEE Congress on Evolutionary Computation, p.1305-1312, Trondheim, Norway, May 2009

  @INPROCEEDINGS{Widera2009,
    title = {Evolutionary design of the energy function for protein structure prediction},
    author = {Widera, Pawel and Garibaldi, Jonathan M. and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1109/CEC.2009.4983095},
    month = may,
    booktitle = {2009 IEEE Congress on Evolutionary Computation},
    pages = {1305--1312},
    address = {Trondheim, Norway}
  }
  

• DOI BibTeX
  F.J. Romero-Campero, J. Twycross, M. Cámara, M. Bennett, M. Gheorghe, N. Krasnogor
  Modular Assembly Of Cell Systems Biology Models Using P Systems
  in International Journal of Foundations of Computer Science, 20(03):427-442, June 2009

  @ARTICLE{Romero-Campero2009,
    title = {Modular Assembly Of Cell Systems Biology Models Using P Systems},
    author = {Romero-Campero, Francisco J. and Twycross, Jamie and Cámara, Miguel and Bennett, Malcolm and Gheorghe, Marian and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1142/S0129054109006668},
    month = jun,
    journal = {International Journal of Foundations of Computer Science},
    volume = {20},
    number = {03},
    pages = {427--442}
  }
  

• DOI BibTeX
  N.Q. Huy, O.Y. Soon, L.M. Hiot, N. Krasnogor
  Adaptive Cellular Memetic Algorithms
  in Evolutionary Computation, 17(2):231-256, June 2009

  @ARTICLE{Huy2009,
    title = {Adaptive Cellular Memetic Algorithms},
    author = {Huy, Nguyen Quang and Soon, Ong Yew and Hiot, Lim Meng and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1162/evco.2009.17.2.231},
    month = jun,
    journal = {Evolutionary Computation},
    volume = {17},
    number = {2},
    pages = {231--256}
  }
  

• DOI eprint BibTeX
  L. Li, J.M. Garibaldi, N. Krasnogor
  Automated self-assembly programming paradigm: The impact of network topology
  in International Journal of Intelligent Systems, 24(7):793-817, July 2009

  @ARTICLE{Li2009,
    title = {Automated self-assembly programming paradigm: The impact of network topology},
    author = {Li, Lin and Garibaldi, Jonathan M and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1002/int.20361},
    month = jul,
    journal = {International Journal of Intelligent Systems},
    volume = {24},
    number = {7},
    pages = {793--817}
  }
  

• DOI eprint BibTeX
  J. Bacardit, N. Krasnogor
  Performance and Efficiency of Memetic Pittsburgh Learning Classifier Systems
  in Evolutionary Computation, 17(3):307-342, September 2009

  @ARTICLE{Bacardit2009c,
    title = {Performance and Efficiency of Memetic Pittsburgh Learning Classifier Systems},
    author = {Bacardit, Jaume and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1162/evco.2009.17.3.307},
    month = sep,
    journal = {Evolutionary Computation},
    volume = {17},
    number = {3},
    pages = {307--342}
  }
  

• DOI BibTeX
  F.J. Romero-Campero, N. Krasnogor
  An Approach to the Engineering of Cellular Models Based on P Systems
  in Mathematical Theory and Computational Practice, Lecture Notes in Computer Science 5635, p.430-436, 2009

  @INCOLLECTION{Romero-Campero2009b,
    title = {An Approach to the Engineering of Cellular Models Based on P Systems},
    author = {Romero-Campero, Francisco J. and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1007/978-3-642-03073-4_44},
    booktitle = {Mathematical Theory and Computational Practice},
    publisher = {Springer Berlin Heidelberg},
    volume = {5635},
    series = {Lecture Notes in Computer Science},
    pages = {430--436}
  }
  

• DOI BibTeX
  E. Glaab, J.M. Garibaldi, N. Krasnogor
  ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization
  in BMC Bioinformatics, 10(1):358, 2009

  @ARTICLE{Glaab2009,
    title = {ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization},
    author = {Glaab, Enrico and Garibaldi, Jonathan M and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1186/1471-2105-10-358},
    journal = {BMC Bioinformatics},
    volume = {10},
    number = {1},
    pages = {358}
  }
  

• DOI BibTeX
  N. Krasnogor, M.B. Melián-Batista, J.A.M. Pérez, J.M. Moreno-Vega, D.A. Pelta
  Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)
  Studies in Computational Intelligence 236, Springer Berlin Heidelberg, 2009

  @BOOK{Krasnogor2009,
    title = {Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)},
    author = {Krasnogor, Natalio and Melián-Batista, María Belén and Pérez, José Andrés Moreno and Moreno-Vega, J. Marcos and Pelta, David Alejandro},
    year = 2009,
    doi = {10.1007/978-3-642-03211-0},
    publisher = {Springer Berlin Heidelberg},
    volume = {236},
    series = {Studies in Computational Intelligence}
  }
  

• DOI eprint BibTeX
  J. Bacardit, N. Krasnogor
  A mixed discrete-continuous attribute list representation for large scale classification domains
  in Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09, p.1155, Montreal, Québec, Canada, 2009

  @INPROCEEDINGS{Bacardit2009b,
    title = {A mixed discrete-continuous attribute list representation for large scale classification domains},
    author = {Bacardit, Jaume and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1145/1569901.1570057},
    booktitle = {Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09},
    pages = {1155},
    address = {Montreal, Québec, Canada}
  }
  

• DOI eprint BibTeX
  J. Bacardit, M. Stout, J.D. Hirst, A. Valencia, R.E. Smith, N. Krasnogor
  Automated Alphabet Reduction for Protein Datasets
  in BMC Bioinformatics, 10(1):6, 2009

  @ARTICLE{Bacardit2009a,
    title = {Automated Alphabet Reduction for Protein Datasets},
    author = {Bacardit, Jaume and Stout, Michael and Hirst, Jonathan D and Valencia, Alfonso and Smith, Robert E and Krasnogor, Natalio},
    year = 2009,
    doi = {10.1186/1471-2105-10-6},
    journal = {BMC Bioinformatics},
    volume = {10},
    number = {1},
    pages = {6}
  }
  

2008

• DOI BibTeX
  N. Krasnogor, J. Smith
  Memetic Algorithms: The Polynomial Local Search Complexity Theory Perspective
  in Journal of Mathematical Modelling and Algorithms, 7(1):3-24, March 2008

  @ARTICLE{Krasnogor2008,
    title = {Memetic Algorithms: The Polynomial Local Search Complexity Theory Perspective},
    author = {Krasnogor, Natalio and Smith, Jim},
    year = 2008,
    doi = {10.1007/s10852-007-9070-9},
    month = mar,
    journal = {Journal of Mathematical Modelling and Algorithms},
    volume = {7},
    number = {1},
    pages = {3--24}
  }
  

• DOI BibTeX
  M. Stout, J. Bacardit, J.D. Hirst, N. Krasnogor
  Prediction of recursive convex hull class assignments for protein residues
  in Bioinformatics, 24(7):916-923, April 2008

  @ARTICLE{Stout2008,
    title = {Prediction of recursive convex hull class assignments for protein residues},
    author = {Stout, M. and Bacardit, J. and Hirst, J. D. and Krasnogor, N.},
    year = 2008,
    doi = {10.1093/bioinformatics/btn050},
    month = apr,
    journal = {Bioinformatics},
    volume = {24},
    number = {7},
    pages = {916--923}
  }
  

• DOI eprint BibTeX
  M. Oakley, D. Barthel, Y. Bykov, J. Garibaldi, E. Burke, N. Krasnogor, J. Hirst
  Search Strategies in Structural Bioinformatics
  in Current Protein & Peptide Science, 9(3):260-274, June 2008

  @ARTICLE{Oakley2008,
    title = {Search Strategies in Structural Bioinformatics},
    author = {Oakley, Mark and Barthel, Daniel and Bykov, Yuri and Garibaldi, Jonathan and Burke, Edmund and Krasnogor, Natalio and Hirst, Jonathan},
    year = 2008,
    doi = {10.2174/138920308784534032},
    month = jun,
    journal = {Current Protein & Peptide Science},
    volume = {9},
    number = {3},
    pages = {260--274}
  }
  

• DOI BibTeX
  J. Bacardit, N. Krasnogor
  Fast rule representation for continuous attributes in genetics-based machine learning
  in Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08, p.1421, Atlanta, GA, USA, 2008

  @INPROCEEDINGS{Bacardit2008,
    title = {Fast rule representation for continuous attributes in genetics-based machine learning},
    author = {Bacardit, Jaume and Krasnogor, Natalio},
    year = 2008,
    doi = {10.1145/1389095.1389369},
    booktitle = {Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08},
    pages = {1421},
    address = {Atlanta, GA, USA}
  }
  

• DOI eprint BibTeX
  F.J. Romero-Campero, H. Cao, M. Camara, N. Krasnogor
  Structure and parameter estimation for cell systems biology models
  in Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08, p.331, Atlanta, GA, USA, 2008

  @INPROCEEDINGS{Romero-Campero2008,
    title = {Structure and parameter estimation for cell systems biology models},
    author = {Romero-Campero, Francisco J. and Cao, Hongqing and Camara, Miguel and Krasnogor, Natalio},
    year = 2008,
    doi = {10.1145/1389095.1389153},
    booktitle = {Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08},
    pages = {331},
    address = {Atlanta, GA, USA}
  }
  

• DOI BibTeX
  J. Smaldon, J. Blakes, N. Krasnogor, D. Lancet
  A multi-scaled approach to artificial life simulation with P systems and dissipative particle dynamics
  in Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08, p.249, Atlanta, GA, USA, 2008

  @INPROCEEDINGS{Smaldon2008,
    title = {A multi-scaled approach to artificial life simulation with P systems and dissipative particle dynamics},
    author = {Smaldon, James and Blakes, Jonathan and Krasnogor, Natalio and Lancet, Doron},
    year = 2008,
    doi = {10.1145/1389095.1389134},
    booktitle = {Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08},
    pages = {249},
    address = {Atlanta, GA, USA}
  }
  

• DOI BibTeX
  M. Tabacman, N. Krasnogor, J. Bacardit, I. Loiseau
  Learning classifier systems for optimisation problems
  in Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation - GECCO '08, p.2039, Atlanta, GA, USA, 2008

  @INPROCEEDINGS{Tabacman2008,
    title = {Learning classifier systems for optimisation problems},
    author = {Tabacman, Maximiliano and Krasnogor, Natalio and Bacardit, Jaume and Loiseau, Irene},
    year = 2008,
    doi = {10.1145/1388969.1389018},
    booktitle = {Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation - GECCO '08},
    pages = {2039},
    address = {Atlanta, GA, USA}
  }
  

• DOI BibTeX
  J. Bacardit, E. Bernadó-Mansilla, M.V. Butz
  Learning Classifier Systems: Looking Back and Glimpsing Ahead
  in Learning Classifier Systems, Lecture Notes in Computer Science 4998, p.1-21, 2008

  @INCOLLECTION{Bacardit2008d,
    title = {Learning Classifier Systems: Looking Back and Glimpsing Ahead},
    author = {Bacardit, Jaume and Bernadó-Mansilla, Ester and Butz, Martin V.},
    year = 2008,
    doi = {10.1007/978-3-540-88138-4_1},
    booktitle = {Learning Classifier Systems},
    publisher = {Springer Berlin Heidelberg},
    volume = {4998},
    series = {Lecture Notes in Computer Science},
    pages = {1--21}
  }
  

• DOI BibTeX
  J. Bacardit, M. Stout, J.D. Hirst, N. Krasnogor
  Data Mining in Proteomics with Learning Classifier Systems
  in Learning Classifier Systems in Data Mining, Studies in Computational Intelligence 125, p.17-46, 2008

  @INCOLLECTION{Bacardit2008a,
    title = {Data Mining in Proteomics with Learning Classifier Systems},
    author = {Bacardit, Jaume and Stout, Michael and Hirst, Jonathan D. and Krasnogor, Natalio},
    year = 2008,
    doi = {10.1007/978-3-540-78979-6_2},
    booktitle = {Learning Classifier Systems in Data Mining},
    publisher = {Springer Berlin Heidelberg},
    volume = {125},
    series = {Studies in Computational Intelligence},
    pages = {17--46}
  }
  

• DOI BibTeX
  N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta
  Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)
  Studies in Computational Intelligence 129, Springer Berlin Heidelberg, 2008

  @BOOK{Krasnogor2008a,
    title = {Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)},
    author = {Krasnogor, Natalio and Nicosia, Giuseppe and Pavone, Mario and Pelta, David},
    year = 2008,
    doi = {10.1007/978-3-540-78987-1},
    publisher = {Springer Berlin Heidelberg},
    volume = {129},
    series = {Studies in Computational Intelligence}
  }
  

• DOI BibTeX
  J. Bacardit, E. Bernadó-Mansilla, M.V. Butz, T. Kovacs, X. Llorà, K. Takadama
  Learning Classifier Systems
  Lecture Notes in Computer Science 4998, Springer Berlin Heidelberg, 2008

  @BOOK{Bacardit2008c,
    title = {Learning Classifier Systems},
    author = {Bacardit, Jaume and Bernadó-Mansilla, Ester and Butz, Martin V. and Kovacs, Tim and Llorà, Xavier and Takadama, Keiki},
    year = 2008,
    doi = {10.1007/978-3-540-88138-4},
    publisher = {Springer Berlin Heidelberg},
    volume = {4998},
    series = {Lecture Notes in Computer Science}
  }
  

• DOI eprint BibTeX
  J. Bacardit, N. Krasnogor
  Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System
  in Learning Classifier Systems, Lecture Notes in Computer Science 4998, p.255-268, 2008

  @INCOLLECTION{Bacardit2008b,
    title = {Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System},
    author = {Bacardit, Jaume and Krasnogor, Natalio},
    year = 2008,
    doi = {10.1007/978-3-540-88138-4_15},
    booktitle = {Learning Classifier Systems},
    publisher = {Springer Berlin Heidelberg},
    volume = {4998},
    series = {Lecture Notes in Computer Science},
    pages = {255--268}
  }
  

2007

• DOI BibTeX
  Y. Ong, N. Krasnogor, H. Ishibuchi
  Special Issue on Memetic Algorithms
  in IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 37(1):2-5, February 2007

  @ARTICLE{Ong2007,
    title = {Special Issue on Memetic Algorithms},
    author = {Ong, Yew-Soon and Krasnogor, Natalio and Ishibuchi, Hisao},
    year = 2007,
    doi = {10.1109/TSMCB.2006.883274},
    month = feb,
    journal = {IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)},
    volume = {37},
    number = {1},
    pages = {2--5}
  }
  

• DOI eprint BibTeX
  P. Siepmann, C.P. Martin, I. Vancea, P.J. Moriarty, N. Krasnogor
  A Genetic Algorithm Approach to Probing the Evolution of Self-Organized Nanostructured Systems
  in Nano Letters, 7(7):1985-1990, July 2007

  @ARTICLE{Siepmann2007,
    title = {A Genetic Algorithm Approach to Probing the Evolution of Self-Organized Nanostructured Systems},
    author = {Siepmann, Peter and Martin, Christopher P. and Vancea, Ioan and Moriarty, Philip J. and Krasnogor, Natalio},
    year = 2007,
    doi = {10.1021/nl070773m},
    month = jul,
    journal = {Nano Letters},
    volume = {7},
    number = {7},
    pages = {1985--1990}
  }
  

• DOI BibTeX
  G. Terrazas, M. Gheorghe, G. Kendall, N. Krasnogor
  Evolving tiles for automated self-assembly design
  in 2007 IEEE Congress on Evolutionary Computation, p.2001-2008, Singapore, September 2007

  @INPROCEEDINGS{Terrazas2007,
    title = {Evolving tiles for automated self-assembly design},
    author = {Terrazas, German and Gheorghe, Marian and Kendall, Graham and Krasnogor, Natalio},
    year = 2007,
    doi = {10.1109/CEC.2007.4424719},
    month = sep,
    booktitle = {2007 IEEE Congress on Evolutionary Computation},
    pages = {2001--2008},
    address = {Singapore}
  }
  

• DOI eprint BibTeX
  Q.H. Nguyen, Y.S. Ong, N. Krasnogor
  A study on the design issues of Memetic Algorithm
  in 2007 IEEE Congress on Evolutionary Computation, p.2390-2397, Singapore, September 2007

  @INPROCEEDINGS{Nguyen2007,
    title = {A study on the design issues of Memetic Algorithm},
    author = {Nguyen, Q. H. and Ong, Y. S. and Krasnogor, N.},
    year = 2007,
    doi = {10.1109/CEC.2007.4424770},
    month = sep,
    booktitle = {2007 IEEE Congress on Evolutionary Computation},
    pages = {2390--2397},
    address = {Singapore}
  }
  

• DOI eprint BibTeX
  J. Bacardit, M. Stout, J.D. Hirst, K. Sastry, X. Llorà, N. Krasnogor
  Automated alphabet reduction method with evolutionary algorithms for protein structure prediction
  in Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07, p.346, London, England, 2007

  @INPROCEEDINGS{Bacardit2007,
    title = {Automated alphabet reduction method with evolutionary algorithms for protein structure prediction},
    author = {Bacardit, Jaume and Stout, Michael and Hirst, Jonathan D. and Sastry, Kumara and Llorà, Xavier and Krasnogor, Natalio},
    year = 2007,
    doi = {10.1145/1276958.1277033},
    booktitle = {Proceedings of the 9th annual conference on Genetic and evolutionary computation  - GECCO '07},
    pages = {346},
    address = {London, England}
  }
  

• DOI BibTeX
  J. Bacardit, D.E. Goldberg, M.V. Butz
  Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule
  in Learning Classifier Systems, Lecture Notes in Computer Science 4399, p.291-307, 2007

  @INCOLLECTION{Bacardit2007a,
    title = {Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule},
    author = {Bacardit, Jaume and Goldberg, David E. and Butz, Martin V.},
    year = 2007,
    doi = {10.1007/978-3-540-71231-2_20},
    booktitle = {Learning Classifier Systems},
    publisher = {Springer Berlin Heidelberg},
    volume = {4399},
    series = {Lecture Notes in Computer Science},
    pages = {291--307}
  }
  

• DOI BibTeX
  J. Bacardit, M.V. Butz
  Data Mining in Learning Classifier Systems: Comparing XCS with GAssist
  in Learning Classifier Systems, Lecture Notes in Computer Science 4399, p.282-290, 2007

  @INCOLLECTION{Bacardit2007b,
    title = {Data Mining in Learning Classifier Systems: Comparing XCS with GAssist},
    author = {Bacardit, Jaume and Butz, Martin V.},
    year = 2007,
    doi = {10.1007/978-3-540-71231-2_19},
    booktitle = {Learning Classifier Systems},
    publisher = {Springer Berlin Heidelberg},
    volume = {4399},
    series = {Lecture Notes in Computer Science},
    pages = {282--290}
  }
  

• DOI BibTeX
  J. Bacardit, J.M. Garrell
  Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System
  in Learning Classifier Systems, Lecture Notes in Computer Science 4399, p.59-79, 2007

  @INCOLLECTION{Bacardit2007c,
    title = {Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System},
    author = {Bacardit, Jaume and Garrell, Josep Maria},
    year = 2007,
    doi = {10.1007/978-3-540-71231-2_5},
    booktitle = {Learning Classifier Systems},
    publisher = {Springer Berlin Heidelberg},
    volume = {4399},
    series = {Lecture Notes in Computer Science},
    pages = {59--79}
  }
  

• DOI eprint BibTeX
  V. Cutello, N. Krasnogor, G. Nicosia, M. Pavone
  Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization
  in Adaptive and Natural Computing Algorithms, Lecture Notes in Computer Science 4431, p.93-101, 2007

  @INCOLLECTION{Cutello2007,
    title = {Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization},
    author = {Cutello, Vincenzo and Krasnogor, Natalio and Nicosia, Giuseppe and Pavone, Mario},
    year = 2007,
    doi = {10.1007/978-3-540-71618-1_11},
    booktitle = {Adaptive and Natural Computing Algorithms},
    publisher = {Springer Berlin Heidelberg},
    volume = {4431},
    series = {Lecture Notes in Computer Science},
    pages = {93--101}
  }
  

2006

• DOI BibTeX
  M. Stout, J. Bacardit, J.D. Hirst, J. Blazewicz, N. Krasnogor
  Prediction Of Residue Exposure And Contact Number For Simplified Hp Lattice Model Proteins Using Learning Classifier Systems
  in Applied Artificial Intelligence, p.601-608, Genova, Italy, July 2006

  @INPROCEEDINGS{Stout2006,
    title = {Prediction Of Residue Exposure And Contact Number For Simplified Hp Lattice Model Proteins Using Learning Classifier Systems},
    author = {Stout, Michael and Bacardit, Jaume and Hirst, Jonathan D. and Blazewicz, Jacek and Krasnogor, Natalio},
    year = 2006,
    doi = {10.1142/9789812774118_0085},
    month = jul,
    booktitle = {Applied Artificial Intelligence},
    pages = {601--608},
    address = {Genova, Italy}
  }
  

• DOI BibTeX
  J. Bacardit, M. Stout, N. Krasnogor, J.D. Hirst, J. Blazewicz
  Coordination number prediction using learning classifier systems
  in Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06, p.247, Seattle, Washington, USA, 2006

  @INPROCEEDINGS{Bacardit2006,
    title = {Coordination number prediction using learning classifier systems},
    author = {Bacardit, Jaume and Stout, Michael and Krasnogor, Natalio and Hirst, Jonathan D. and Blazewicz, Jacek},
    year = 2006,
    doi = {10.1145/1143997.1144041},
    booktitle = {Proceedings of the 8th annual conference on Genetic and evolutionary computation  - GECCO '06},
    pages = {247},
    address = {Seattle, Washington, USA}
  }
  

• DOI BibTeX
  M. Stout, J. Bacardit, J.D. Hirst, N. Krasnogor, J. Blazewicz
  From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems
  in Applications of Evolutionary Computing, Lecture Notes in Computer Science 3907, p.208-220, 2006

  @INCOLLECTION{Stout2006a,
    title = {From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems},
    author = {Stout, Michael and Bacardit, Jaume and Hirst, Jonathan D. and Krasnogor, Natalio and Blazewicz, Jacek},
    year = 2006,
    doi = {10.1007/11732242_19},
    booktitle = {Applications of Evolutionary Computing},
    publisher = {Springer Berlin Heidelberg},
    volume = {3907},
    series = {Lecture Notes in Computer Science},
    pages = {208--220}
  }
  

• DOI BibTeX
  G. Ochoa, G. Escuela, N. Krasnogor
  Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding
  in Artificial Evolution, Lecture Notes in Computer Science 3871, p.247-258, 2006

  @INCOLLECTION{Ochoa2006,
    title = {Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding},
    author = {Ochoa, Gabriela and Escuela, Gabi and Krasnogor, Natalio},
    year = 2006,
    doi = {10.1007/11740698_22},
    booktitle = {Artificial Evolution},
    publisher = {Springer Berlin Heidelberg},
    volume = {3871},
    series = {Lecture Notes in Computer Science},
    pages = {247--258}
  }
  

• DOI eprint BibTeX
  N. Krasnogor, G. Terrazas, D.A. Pelta, G. Ochoa
  A Critical View of the Evolutionary Design of Self-assembling Systems
  in Artificial Evolution, Lecture Notes in Computer Science 3871, p.179-188, 2006

  @INCOLLECTION{Krasnogor2006,
    title = {A Critical View of the Evolutionary Design of Self-assembling Systems},
    author = {Krasnogor, Natalio and Terrazas, Graciela and Pelta, David A. and Ochoa, Gabriela},
    year = 2006,
    doi = {10.1007/11740698_16},
    booktitle = {Artificial Evolution},
    publisher = {Springer Berlin Heidelberg},
    volume = {3871},
    series = {Lecture Notes in Computer Science},
    pages = {179--188}
  }
  

• DOI BibTeX
  J. Bacardit, N. Krasnogor
  Smart crossover operator with multiple parents for a Pittsburgh learning classifier system
  in Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06, p.1441, Seattle, Washington, USA, 2006

  @INPROCEEDINGS{Bacardit2006a,
    title = {Smart crossover operator with multiple parents for a Pittsburgh learning classifier system},
    author = {Bacardit, Jaume and Krasnogor, Natalio},
    year = 2006,
    doi = {10.1145/1143997.1144235},
    booktitle = {Proceedings of the 8th annual conference on Genetic and evolutionary computation  - GECCO '06},
    pages = {1441},
    address = {Seattle, Washington, USA}
  }
  

2005

• DOI BibTeX
  D. Pelta, N. Krasnogor, C. Bousono-Calzon, J.L. Verdegay, J. Hirst, E. Burke
  A fuzzy sets based generalization of contact maps for the overlap of protein structures
  in Fuzzy Sets and Systems, 152(1):103-123, May 2005

  @ARTICLE{Pelta2005,
    title = {A fuzzy sets based generalization of contact maps for the overlap of protein structures},
    author = {Pelta, David and Krasnogor, Natalio and Bousono-Calzon, Carlos and Verdegay, José L. and Hirst, J. and Burke, Edmund},
    year = 2005,
    doi = {10.1016/j.fss.2004.10.017},
    month = may,
    journal = {Fuzzy Sets and Systems},
    volume = {152},
    number = {1},
    pages = {103--123}
  }
  

• eprint BibTeX
  D. Pelta, J. Gonzales, N. Krasnogor
  Protein Structure Comparison through Fuzzy Contact Maps and the Universal Similarity Metric
  in Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Recontres Francophones sur la Logique Floue et ses Applications, p.1124-1129, Barcelona, Spain, September 2005

  @INPROCEEDINGS{Pelta2005a,
    title = {Protein Structure Comparison through Fuzzy Contact Maps and the Universal Similarity Metric},
    author = {Pelta, D.A. and Gonzales, J.R. and Krasnogor, N.},
    year = 2005,
    month = sep,
    booktitle = {Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Recontres Francophones sur la Logique Floue et ses Applications},
    pages = {1124--1129},
    address = {Barcelona, Spain}
  }
  

• DOI eprint BibTeX
  N. Krasnogor, J. Smith
  A Tutorial for Competent Memetic Algorithms: Model, Taxonomy, and Design Issues
  in IEEE Transactions on Evolutionary Computation, 9(5):474-488, October 2005

  @ARTICLE{Krasnogor2005,
    title = {A Tutorial for Competent Memetic Algorithms: Model, Taxonomy, and Design Issues},
    author = {Krasnogor, N. and Smith, J.},
    year = 2005,
    doi = {10.1109/TEVC.2005.850260},
    month = oct,
    journal = {IEEE Transactions on Evolutionary Computation},
    volume = {9},
    number = {5},
    pages = {474--488}
  }
  

• DOI BibTeX
  J. Bacardit
  Analysis of the initialization stage of a Pittsburgh approach learning classifier system
  in Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05, p.1843, Washington DC, USA, 2005

  @INPROCEEDINGS{Bacardit2005,
    title = {Analysis of the initialization stage of a Pittsburgh approach learning classifier system},
    author = {Bacardit, Jaume},
    year = 2005,
    doi = {10.1145/1068009.1068321},
    booktitle = {Proceedings of the 2005 conference on Genetic and evolutionary computation  - GECCO '05},
    pages = {1843},
    address = {Washington DC, USA}
  }
  

• DOI BibTeX
  S. Gustafson, E.K. Burke, N. Krasnogor
  On Improving Genetic Programming for Symbolic Regression
  in 2005 IEEE Congress on Evolutionary Computation, p.912-919, Edinburgh, Scotland, UK, 2005

  @INPROCEEDINGS{Gustafson2005a,
    title = {On Improving Genetic Programming for Symbolic Regression},
    author = {Gustafson, S. and Burke, E. K. and Krasnogor, N.},
    year = 2005,
    doi = {10.1109/CEC.2005.1554780},
    booktitle = {2005 IEEE Congress on Evolutionary Computation},
    pages = {912--919},
    address = {Edinburgh, Scotland, UK}
  }
  

• DOI eprint BibTeX
  F. Bernardini, M. Gheorghe, N. Krasnogor, J. Giavitto
  On Self-assembly in Population P Systems
  in Unconventional Computation, Lecture Notes in Computer Science 3699, p.46-57, 2005

  @INCOLLECTION{Bernardini2005b,
    title = {On Self-assembly in Population P Systems},
    author = {Bernardini, Francesco and Gheorghe, Marian and Krasnogor, Natalio and Giavitto, Jean-Louis},
    year = 2005,
    doi = {10.1007/11560319_6},
    booktitle = {Unconventional Computation},
    publisher = {Springer Berlin Heidelberg},
    volume = {3699},
    series = {Lecture Notes in Computer Science},
    pages = {46--57}
  }
  

• DOI eprint BibTeX
  F. Bernardini, M. Gheorghe, N. Krasnogor, G. Terrazas
  Membrane Computing — Current Results and Future Problems
  in New Computational Paradigms, Lecture Notes in Computer Science 3526, p.49-53, 2005

  @INCOLLECTION{Bernardini2005a,
    title = {Membrane Computing — Current Results and Future Problems},
    author = {Bernardini, Francesco and Gheorghe, Marian and Krasnogor, Natalio and Terrazas, German},
    year = 2005,
    doi = {10.1007/11494645_6},
    booktitle = {New Computational Paradigms},
    publisher = {Springer Berlin Heidelberg},
    volume = {3526},
    series = {Lecture Notes in Computer Science},
    pages = {49--53}
  }
  

• DOI eprint BibTeX
  G. Terrazas, N. Krasnogor, G. Kendall, M. Gheorghe
  Automated Tile Design for Self-Assembly Conformations
  in 2005 IEEE Congress on Evolutionary Computation, p.1808-1814, Edinburgh, Scotland, UK, 2005

  @INPROCEEDINGS{Terrazas2005a,
    title = {Automated Tile Design for Self-Assembly Conformations},
    author = {Terrazas, G. and Krasnogor, N. and Kendall, G. and Gheorghe, M.},
    year = 2005,
    doi = {10.1109/CEC.2005.1554907},
    booktitle = {2005 IEEE Congress on Evolutionary Computation},
    pages = {1808--1814},
    address = {Edinburgh, Scotland, UK}
  }
  

• DOI BibTeX
  F. Bernardini, F.J. Romero-Campero, M. Gheorghe, M.J. Perez-Jimenez, M. Margenstern, S. Verlan, N. Krasnogor
  On P systems with bounded parallelism
  in Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), p.8 pp., Timisoara, Romania, 2005

  @INPROCEEDINGS{Bernardini2005,
    title = {On P systems with bounded parallelism},
    author = {Bernardini, F. and Romero-Campero, F. J. and Gheorghe, M. and Perez-Jimenez, M. J. and Margenstern, M. and Verlan, S. and Krasnogor, N.},
    year = 2005,
    doi = {10.1109/SYNASC.2005.51},
    booktitle = {Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05)},
    pages = {8 pp.},
    address = {Timisoara, Romania}
  }
  

• DOI eprint BibTeX
  S. Gustafson, E.K. Burke, N. Krasnogor
  The Tree-String Problem: An Artificial Domain for Structure and Content Search
  in Genetic Programming, Lecture Notes in Computer Science 3447, p.215-226, 2005

  @INCOLLECTION{Gustafson2005,
    title = {The Tree-String Problem: An Artificial Domain for Structure and Content Search},
    author = {Gustafson, Steven and Burke, Edmund K. and Krasnogor, Natalio},
    year = 2005,
    doi = {10.1007/978-3-540-31989-4_19},
    booktitle = {Genetic Programming},
    publisher = {Springer Berlin Heidelberg},
    volume = {3447},
    series = {Lecture Notes in Computer Science},
    pages = {215--226}
  }
  

• DOI eprint BibTeX
  G. Escuela, G. Ochoa, N. Krasnogor
  Evolving L-Systems to Capture Protein Structure Native Conformations
  in Genetic Programming, Lecture Notes in Computer Science 3447, p.74-84, 2005

  @INCOLLECTION{Escuela2005,
    title = {Evolving L-Systems to Capture Protein Structure Native Conformations},
    author = {Escuela, Gabi and Ochoa, Gabriela and Krasnogor, Natalio},
    year = 2005,
    doi = {10.1007/978-3-540-31989-4_7},
    booktitle = {Genetic Programming},
    publisher = {Springer Berlin Heidelberg},
    volume = {3447},
    series = {Lecture Notes in Computer Science},
    pages = {74--84}
  }
  

• DOI BibTeX
  W.E. Hart, J.E. Smith, N. Krasnogor
  Recent Advances in Memetic Algorithms
  Studies in Fuzziness and Soft Computing 166, Springer-Verlag, 2005

  @BOOK{Hart2005,
    title = {Recent Advances in Memetic Algorithms},
    author = {Hart, William E. and Smith, J. E. and Krasnogor, N.},
    year = 2005,
    doi = {10.1007/3-540-32363-5},
    publisher = {Springer-Verlag},
    volume = {166},
    series = {Studies in Fuzziness and Soft Computing}
  }
  

2004

• DOI eprint BibTeX
  N. Krasnogor
  Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case
  in Genetic Programming and Evolvable Machines, 5(2):181-201, June 2004

  @ARTICLE{Krasnogor2004a,
    title = {Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case},
    author = {Krasnogor, N.},
    year = 2004,
    doi = {10.1023/B:GENP.0000023687.41210.d7},
    month = jun,
    journal = {Genetic Programming and Evolvable Machines},
    volume = {5},
    number = {2},
    pages = {181--201}
  }
  

• DOI eprint BibTeX
  M. Lozano, F. Herrera, N. Krasnogor, D. Molina
  Real-Coded Memetic Algorithms with Crossover Hill-Climbing
  in Evolutionary Computation, 12(3):273-302, September 2004

  @ARTICLE{Lozano2004,
    title = {Real-Coded Memetic Algorithms with Crossover Hill-Climbing},
    author = {Lozano, Manuel and Herrera, Francisco and Krasnogor, Natalio and Molina, Daniel},
    year = 2004,
    doi = {10.1162/1063656041774983},
    month = sep,
    journal = {Evolutionary Computation},
    volume = {12},
    number = {3},
    pages = {273--302}
  }
  

• DOI BibTeX
  W.E. Hart, N. Krasnogor, J.E. Smith
  Editorial Introduction Special Issue on Memetic Algorithms
  in Evolutionary Computation, 12(3):v-vi, September 2004

  @ARTICLE{Hart2004,
    title = {Editorial Introduction Special Issue on Memetic Algorithms},
    author = {Hart, W. E. and Krasnogor, N. and Smith, J. E.},
    year = 2004,
    doi = {10.1162/1063656041775009},
    month = sep,
    journal = {Evolutionary Computation},
    volume = {12},
    number = {3},
    pages = {v--vi}
  }
  

• DOI BibTeX
  J. Aguilar-Ruiz, J. Bacardit, F. Divina
  Experimental Evaluation of Discretization Schemes for Rule Induction
  in Genetic and Evolutionary Computation – GECCO 2004, Lecture Notes in Computer Science 3102, p.828-839, 2004

  @INCOLLECTION{Aguilar-Ruiz2004,
    title = {Experimental Evaluation of Discretization Schemes for Rule Induction},
    author = {Aguilar-Ruiz, Jesus and Bacardit, Jaume and Divina, Federico},
    year = 2004,
    doi = {10.1007/978-3-540-24854-5_85},
    booktitle = {Genetic and Evolutionary Computation – GECCO 2004},
    publisher = {Springer Berlin Heidelberg},
    volume = {3102},
    series = {Lecture Notes in Computer Science},
    pages = {828--839}
  }
  

• DOI BibTeX
  J. Bacardit, D.E. Goldberg, M.V. Butz, X. Llorà, J.M. Garrell
  Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy
  in Parallel Problem Solving from Nature - PPSN VIII, Lecture Notes in Computer Science 3242, p.1021-1031, 2004

  @INCOLLECTION{Bacardit2004a,
    title = {Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy},
    author = {Bacardit, Jaume and Goldberg, David E. and Butz, Martin V. and Llorà, Xavier and Garrell, Josep M.},
    year = 2004,
    doi = {10.1007/978-3-540-30217-9_103},
    booktitle = {Parallel Problem Solving from Nature - PPSN VIII},
    publisher = {Springer Berlin Heidelberg},
    volume = {3242},
    series = {Lecture Notes in Computer Science},
    pages = {1021--1031}
  }
  

• DOI BibTeX
  J. Bacardit, J.M. Garrell
  Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation
  in Genetic and Evolutionary Computation – GECCO 2004, Lecture Notes in Computer Science 3103, p.726-738, 2004

  @INCOLLECTION{Bacardit2004b,
    title = {Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation},
    author = {Bacardit, Jaume and Garrell, Josep Maria},
    year = 2004,
    doi = {10.1007/978-3-540-24855-2_88},
    booktitle = {Genetic and Evolutionary Computation – GECCO 2004},
    publisher = {Springer Berlin Heidelberg},
    volume = {3103},
    series = {Lecture Notes in Computer Science},
    pages = {726--738}
  }
  

• eprint BibTeX
  J. Bacardit
  Pittsburgh Genetics-Based Machine Learning in the Data Mining era: Representations, generalization, and run-time
  PhD thesis, Ramon Llull University, Barcelona, Spain, 2004

  @PHDTHESIS{Bacardit2004,
    title = {Pittsburgh Genetics-Based Machine Learning in the Data Mining era: Representations, generalization, and run-time},
    author = {Bacardit, Jaume},
    year = 2004,
    school = {Ramon Llull University, Barcelona, Spain}
  }
  

• DOI eprint BibTeX
  N. Krasnogor, S. Gustafson
  A Study on the use of self-generation'' in memetic algorithms</div> <div>in <em>Natural Computing</em>, 3(1):53-76, 2004</div> <pre id="Krasnogor2004b"> @ARTICLE{Krasnogor2004b, title = {A Study on the use ofself-generation'' in memetic algorithms}, author = {Krasnogor, Natalio and Gustafson, Steven}, year = 2004, doi = {10.1023/B:NACO.0000023419.83147.67}, journal = {Natural Computing}, volume = {3}, number = {1}, pages = {53--76} }

2003

• DOI BibTeX
  J. Bacardit, J.M. Garrell
  Evolving Multiple Discretizations with Adaptive Intervals for a Pittsburgh Rule-Based Learning Classifier System
  in Genetic and Evolutionary Computation — GECCO 2003, Lecture Notes in Computer Science 2724, p.1818-1831, 2003

  @INCOLLECTION{Bacardit2003,
    title = {Evolving Multiple Discretizations with Adaptive Intervals for a Pittsburgh Rule-Based Learning Classifier System},
    author = {Bacardit, Jaume and Garrell, Josep Maria},
    year = 2003,
    doi = {10.1007/3-540-45110-2_80},
    booktitle = {Genetic and Evolutionary Computation — GECCO 2003},
    publisher = {Springer Berlin Heidelberg},
    volume = {2724},
    series = {Lecture Notes in Computer Science},
    pages = {1818--1831}
  }
  

2002

• DOI eprint BibTeX
  E. Burke, S. Gustafson, G. Kendall, N. Krasnogor
  Advanced Population Diversity Measures in Genetic Programming
  in Parallel Problem Solving from Nature — PPSN VII, Lecture Notes in Computer Science 2439, p.341-350, 2002

  @INCOLLECTION{Burke2002,
    title = {Advanced Population Diversity Measures in Genetic Programming},
    author = {Burke, Edmund and Gustafson, Steven and Kendall, Graham and Krasnogor, Natalio},
    year = 2002,
    doi = {10.1007/3-540-45712-7_33},
    booktitle = {Parallel Problem Solving from Nature — PPSN VII},
    publisher = {Springer Berlin Heidelberg},
    volume = {2439},
    series = {Lecture Notes in Computer Science},
    pages = {341--350}
  }
  

• DOI eprint BibTeX
  N. Krasnogor, B.P. Blackburne, E.K. Burke, J.D. Hirst
  Multimeme Algorithms for Protein Structure Prediction
  in Parallel Problem Solving from Nature — PPSN VII, Lecture Notes in Computer Science 2439, p.769-778, 2002

  @INCOLLECTION{Krasnogor2002,
    title = {Multimeme Algorithms for Protein Structure Prediction},
    author = {Krasnogor, N. and Blackburne, B. P. and Burke, E. K. and Hirst, J. D.},
    year = 2002,
    doi = {10.1007/3-540-45712-7_74},
    booktitle = {Parallel Problem Solving from Nature — PPSN VII},
    publisher = {Springer Berlin Heidelberg},
    volume = {2439},
    series = {Lecture Notes in Computer Science},
    pages = {769--778}
  }