Adrien Goëffon

Full professor   |   Computer Science   |   University of Angers (France) - LERIA Lab


Version française ici


Research interests

  • Evolutionary computation  |  Evolutionary programming  |  Metaheuristics  |  Local Search  |  Fitness landscapes  | 
  • Soft Computing  |  Discrete optimization  |  Multiobjective optimization  |  Bioinformatics

Contact

  • E-mail: adrien.goeffon@univ-angers.fr
  • Postal mail:   Adrien Goëffon  |  UNIV Angers - UFR sciences  |  2 bd Lavoisier  |  49045 Angers cedex 1  |  FRANCE
  • Phone: +33 2 41 73 50 78


Selected publications

  • Journal papers
    1. Expansion-based Hill-Climbing  |  Information Sciences (to appear)  |  Elsevier  |  2023 (with S. Tari, M. Basseur)
    2. From Fitness Landscapes Evolution to Automatic Local Search Algorithm Generation  |  International Transactions in Operational Research 29(5) 2737-2760  |  Wiley  |  2021 (with V. Hénaux, F. Saubion)
    3. Partial Neighborhood Local Searches  |  International Transactions in Operational Research 29(5) 2761-2788  |  Wiley  |  2021 (avec S. Tari, M. Basseur)
    4. On the Use of (1,λ)-Evolution Strategy as Efficient Local Search Mechanism for Discrete Optimization: A Behavioral Analysis  |  Natural Computing 20(3): 345-361  |  Springer  |  2021 (with S. Tari, M. Basseur)
    5. PUSH: A generalized operator for the Maximum Vertex Weight Clique Problem  |  European Journal of Operational Research 257(1): 41-54  |  Elsevier  |  2017 (with Y. Zhou, J.K. Hao)  |  pdf
    6. PUSH: A generalized operator for the Maximum Vertex Weight Clique Problem  |  European Journal of Operational Research 257(1): 41-54  |  Elsevier  |  2017 (with Y. Zhou, J.K. Hao)  |  pdf
    7. A Three-phased Local Search Approach for the Clique Partitioning Problem  |  Journal of Combinatorial Optimization 32(2): 469-491  |  Springer  |  2016 (with Y. Zhou, J.K. Hao)  |  pdf
    8. Simulating Non Stationary Operators in Search Algorithms  |  Applied Soft Computing 38:257-268  |  Elsevier  |  2016 (with F. Lardeux, F. Saubion)  |  pdf
    9. Climbing Combinatorial Fitness Landscapes  |  Applied Soft Computing 30:688-704  |  Elsevier  |  2015 (with M. Basseur)
    10. Comparative genomics of protoploid Saccharomycetaceae  |  Genome Research 19:1696-1709  |  CSHL Press  |  2009 (with the Genolevures consortium)  |  html   pdf
    11. Progressive Tree Neighborhood Applied to the Maximum Parsimony Problem  |  Transactions on Computational Biology and Bioinformatics 5(1):136-145  |  IEEE/ACM  |  2008 (with J.M. Richer, J.K. Hao)  |  pdf
  • Book chapters
    1. An Extended Neighborhood Vision for Hill-climbing Move Strategy Design  |  Recent Developments of Metaheuristics (ed: L. Amodeo, E-G. Talbi, F. Yalaoui) |  Springer  |  2018 (with S. Tari, M. Basseur)  |  livre
    2. Heuristic Methods for Phylogenetic Reconstruction with Maximum Parsimony  |  Algorithms In Computational Molecular Biology: Techniques, Approaches and Applications (ed: M. Elloumi, Y. Zomaya)  | 
      Wiley  |  2011 (with J.M. Richer, J.K. Hao)  |  livre
  • Fully refereed conference papers
    1. Evolution of Deterministic Hill-climbers  |  ICTAI 2020 (with V. Hénaux, F. Saubion)
    2. Evolving Search Trajectories  |  GECCO 2020 (with V. Hénaux, F. Saubion)
    3. Evolving Fitness Landscapes with Complementary Fitness Functions  |  EA 2019 (with V. Hénaux, F. Saubion)
    4. Worst Improvement based Iterated Local Search  |  EvoCOP 2018 (with S. Tari, M. Basseur)  |  best paper |  pdf
    5. Sampled Walk and Binary Fitness Landscapes Exploration  |  EA 2017 (with S. Tari, M. Basseur) |  pdf
    6. Experiments on greedy and local search heuristics for d–dimensional hypervolume subset selection  |  GECCO 2016 (with M. Basseur, B. Derbel, A. Liefooghe)  |  pdf
    7. Toward the Design of Efficient Move Strategies for Local Search  |  GECCO 2016 (with S. Tari, M. Basseur)
    8. Combining Mutation and Recombination to Improve a Distributed Model of Adaptive Operator Selection  |  EA 2015 (with J.A. Soria-Alcaraz, G. Ochoa, F. Lardeux, F. Saubion)  |  pdf
    9. Empirical Analysis of Operators for Permutation Based Problems  |  LION 2015 (with P. Desport, M. Basseur, F. Lardeux, F. Saubion)  |  pdf
    10. Exploring non-neutral Landscapes with neutrality-based Local Search  |  LION 2015 (with M. Basseur, H. Traverson)  |  pdf
    11. On the Attainability of NK Landscapes Global Optima  |  SOCS 2014 (with M. Basseur, F. Lardeux, F. Saubion, V. Vigneron)  |  pdf
    12. On the Efficiency of Worst Improvement for Climbing NK Landscapes  |  GECCO 2014 (with M. Basseur)  |  pdf
    13. On Set-based Local Search for Multiobjective Combinatorial Optimization  |  GECCO 2013 (with M. Basseur, A. Liefooghe, S. Verel)  |  pdf
    14. Hill-climbing Strategies on Various Landscapes: An Empirical Comparison  |  GECCO 2013 (with M. Basseur)  |  pdf
    15. Non Stationary Operators Selection with Island Models  |  GECCO 2013 (with C. Candan, F. Lardeux, F. Saubion)  |  pdf
    16. Parameter Setting with Dynamic Island Models  |  LION 2013 (with C. Candan, F. Lardeux, F. Saubion)
    17. Hill-Climbing Behavior on Quantized NK Landscapes  |  LION 2013 (with M. Basseur)
    18. A Dynamic Island Model for Adaptive Operator Selection  |  GECCO 2012 (with C. Candan, F. Lardeux, F. Saubion)  |  pdf
    19. Minimum Multiple Characterization of Biological Data using Partially Defined Boolean Formulas  |  SAC 2012 (with F. Chhel, F. Lardeux, F. Saubion)  |  pdf
    20. Autonomous Local Search Algorithms with Island Representation  |  LION 2012 (with F. Lardeux)
    21. Experimental Approach for Bacterial Strains Characterization  |  EVOBIO 2011 (with F. Chhel, F. Lardeux, F. Saubion, G. Hunault, T. Boureau)
    22. Optimal One-Max Strategy with Dynamic Island Models  |  ICTAI 2011 (with F. Lardeux)
    23. The Bacterial Strains Characterization Problem  |  SAC 2011 (with F. Chhel, A. Lafosse, F. Lardeux, F. Saubion, G. Hunault, T. Bourreau)
    24. A Dynamic Island-Based Genetic Algorithms Framework  |  SEAL 2010 (with F. Lardeux)  |  pdf
    25. Swarming Along the Evolutionary Branches Sheds Light on Genome Rearrangement Scenarios  |  GECCO 2009 (with N. Vyahhi, M. Nikolski, D.J. Sherman)  |  pdf
    26. A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony  |  EVOBIO 2009 (with J.M. Richer, J.K. Hao)  |  pdf
    27. An Efficient Probabilistic Population-based Descent for the Median Genome Problem  |  GECCO 2008 (with M. Nikolski, D.J. Sherman)  |  best paper nominee  |  pdf
    28. A Distance-based Information Preservation Tree Crossover for the Maximum Parsimony Problem  |  PPSN 2006 (with J.M. Richer, J.K. Hao)  |  pdf
    29. Local Search for the Maximum Parsimony Problem  |  ICNC 2005 (with J.M. Richer, J.K. Hao)  |  pdf