Filter your results
- 149
- 6
- 4
- 119
- 27
- 4
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 2
- 1
- 157
- 11
- 5
- 4
- 2
- 2
- 1
- 1
- 1
- 23
- 7
- 5
- 12
- 12
- 10
- 14
- 11
- 4
- 6
- 9
- 11
- 6
- 11
- 7
- 6
- 6
- 6
- 8
- 2
- 4
- 2
- 149
- 10
- 93
- 79
- 68
- 46
- 42
- 27
- 21
- 13
- 6
- 4
- 4
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 159
- 55
- 35
- 28
- 24
- 21
- 20
- 19
- 15
- 11
- 10
- 9
- 9
- 9
- 9
- 8
- 8
- 7
- 6
- 6
- 5
- 5
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
159 Results
|
BCMA-ES: A Bayesian approach to CMA-ESGECCO 2020 - The Genetic and Evolutionary Computation Conference, Jul 2020, ONLINE, Mexico
Conference papers
hal-02886512v1
|
||
|
A hybrid metaheuristic for multiobjective unconstrained binary quadratic programmingApplied Soft Computing, 2014, 16, pp.10-19. ⟨10.1016/j.asoc.2013.11.008⟩
Journal articles
hal-00801793v3
|
||
|
Apport à l'analyse des paysages de fitness pour l'optimisation mono-objective et multiobjectiveIntelligence artificielle [cs.AI]. Université du Littoral Côte d'Opale, 2016
Habilitation à diriger des recherches
tel-01425127v1
|
||
|
Problem Features vs. Algorithm Performance on Rugged Multi-objective Combinatorial Fitness LandscapesEvolutionary Computation, 2017, 25 (4), pp.555-585. ⟨10.1162/EVCO_a_00193⟩
Journal articles
hal-01380612v1
|
||
|
Experiments on local search for bi-objective unconstrained binary quadratic programmingEMO - 2015 8th International Conference on Evolutionary Multi-Criterion Optimization, 2015, Guimarães, Portugal. pp.171-186, ⟨10.1007/978-3-319-15934-8_12⟩
Conference papers
hal-01093261v1
|
||
|
On the Global Structure of PUBOi Fitness LandscapesThe Genetic and Evolutionary Computation Conference (GECCO), ACM, Jul 2023, Lisbonne, Portugal. ⟨10.1145/3583133.3590649⟩
Conference papers
hal-04075074v1
|
||
|
Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspectiveEMO 2023 - 12th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2023, Leiden, Netherlands. pp.260-273, ⟨10.1007/978-3-031-27250-9_19⟩
Conference papers
hal-04021499v1
|
||
|
Efficient parallel derivation of short distinguishing sequences for nondeterministic finite state machines using MapReduceInternational Journal of Big Data Intelligence, 2021, 8 (145), pp.1-27. ⟨10.1186/s40537-021-00535-6⟩
Journal articles
hal-03507111v1
|
||
|
Sampling Local Optima Networks of Large Combinatorial Search Spaces: the QAP Case15th International Conference Parallel Problem Solving from Nature (PPSN XV) - 2018, Sep 2018, Coimbra, Portugal. pp.257-268
Conference papers
hal-01823720v1
|
||
|
On the Fractal Nature of Local Optima NetworksEvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2018, Parma, Italy. pp.18-33
Conference papers
hal-01824984v1
|
||
|
Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-LandscapesLearning and Intelligent OptimizatioN Conference (LION 5), Jan 2011, Rome, Italy. pp.116-130, ⟨10.1007/978-3-642-25566-3_9⟩
Conference papers
hal-00550349v1
|
||
|
Deceptiveness and Neutrality - the ND family of fitness landscapesGenetic And Evolutionary Computation Conference, Jul 2006, Seatle, United States. pp.507 - 514, ⟨10.1145/1143997.1144091⟩
Conference papers
hal-00164694v1
|
||
Systèmes ComplexesPresses polytechniques et universitaires romandes, Publisher of the EPFL Press, 2013, 978-2-88074-991-0
Books
hal-01284628v1
|
|||
|
Set-based Multiobjective Fitness Landscapes: definition, properties4th Workshop on Theory of Randomized Search Heuristics, Mar 2010, Paris, France
Conference papers
hal-00460442v1
|
||
Local Optima Networks: Current Results and PerspectivesThRaSH 2010 - 4th Workshop on Theory of Randomized Search Heuristics, Mar 2010, Paris, France
Conference papers
hal-00460436v1
|
|||
|
ParadisEO-MO: From Fitness Landscape Analysis to Efficient Local Search Algorithms[Research Report] RR-7871, INRIA. 2013
Reports
hal-00665421v2
|
||
|
Etude et Exploitation des Réseaux de Neutralité dans les Paysages Adaptatifs pour l'Optimisation DifficileAutre [cs.OH]. Université Nice Sophia Antipolis, 2005. Français. ⟨NNT : ⟩
Theses
tel-00159727v1
|
||
|
Local search heuristics: Fitness Cloud versus Fitness Landscapethe 2004 European Conference on Artificial Intelligence (ECAI04), Aug 2004, Valencia, Spain. pp.973 - 974
Conference papers
hal-00164910v1
|
||
|
A preliminary investigation of anisotropic selection in celullar genetic algorithmsPoster at Evolution Artificielle, 7th International Conference, Oct 2005, Lillle, France
Conference papers
hal-00164913v1
|
||
|
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of MetaheuristicsGECCO 2021 - Genetic and Evolutionary Computation Conference, ACM Sigevo, Jul 2021, Lille / Virtual, France. pp.1522-1530, ⟨10.1145/3449726.3463276⟩
Conference papers
pasteur-03220556v1
|
||
|
Combinatorial Surrogate-Assisted Optimization for Bus Stops Spacing ProblemBiennial International Conference on Artificial Evolution (EA 2019), Oct 2019, Mulhouse, France
Conference papers
hal-02319558v1
|
||
|
Approaches for many-objective optimization: analysis and comparison on MNK-landscapes13th International Conference on Artificial Evolution (EA 2015), Oct 2015, Lyon, France. pp.14-28
Conference papers
hal-01178613v1
|
||
|
Inferring Future Landscapes: Sampling the Local Optima LevelEvolutionary Computation, 2020, 28 (4), pp.621-641. ⟨10.1162/evco_a_00271⟩
Journal articles
hal-03035340v1
|
||
|
Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective ProblemsEMO 2019 - International Conference on Evolutionary Multi-Criterion Optimization, Mar 2019, East Lansing, Michigan, United States. pp.386-398, ⟨10.1007/978-3-030-12598-1_31⟩
Conference papers
hal-02064548v1
|
||
|
Etude à l'aide d'une simulation informatique multi-agents visant à saisir les conséquences de la réforme des aéroports pour les territoires11ème Conférence Annuelle TEPP : Territoires, Espaces, et Politiques Publiques, Sep 2014, Nantes, France
Conference papers
hal-01069541v1
|
||
|
Studying MOEAs Dynamics and their Performance using a Three Compartmental ModelGECCO 2018 - Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Poster communications
hal-01823709v1
|
||
|
Les conséquences de la réforme aéroportuaire pour les territoires : apports d’une simulation informatique multi-agentsCybergeo : Revue européenne de géographie / European journal of geography, 2020, pp.957
Journal articles
hal-02965863v1
|
||
|
Bayesian CMA-ES: a new approachGECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún, Mexico. pp.203-204, ⟨10.1145/3377929.3389913⟩
Conference papers
hal-03814858v1
|
||
|
SIALAC Benchmark: On the design of adaptive algorithms for traffic lights problemsGECCO 2018, Jul 2018, Kyoto, Japan. ACM Digital Library, pp.288-289, 2018, ⟨10.1145/3205651.3205776⟩
Poster communications
hal-01767696v1
|
||
|
Composition of weighted finite transducers in MapReduceJournal of Big Data, 2021, 8 (1), pp.22. ⟨10.1186/s40537-020-00397-4⟩
Journal articles
hal-03515727v1
|