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322 résultats
Computing gap-free Pareto front approximations with stochastic search algorithmsEvolutionary Computation, 2010, 18 (1), pp.65-96. ⟨10.1162/evco.2010.18.1.18103⟩
Article dans une revue
hal-00750950v1
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A Note on Node Coloring in the SINR Model[Research Report] RR-7058, INRIA. 2009, pp.15
Rapport
inria-00408670v4
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Dual heuristics and new lower bounds for the challenge EURO/ROADEFMatheuristics‘2016 6th Int. Workshop on Model-based Metaheuristics, 2016, Brussels, Belgium
Communication dans un congrès
hal-01423503v1
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Possibilistic framework for multi-objective optimization under uncertaintyRecent Developments in Metaheuristics, 62, Springer, pp.27-42, 2017, Operations Research/Computer Science Interfaces Series - ORCS, 978-3-319-58252-8. ⟨10.1007/978-3-319-58253-5_2⟩
Chapitre d'ouvrage
hal-01654714v1
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Matheuristics for the discrete unit committment problem with min-stop ramping constraintsMatheuristics‘2016 6th Int. Workshop on Model-based Metaheuristics, 2016, Brussels, Belgium
Communication dans un congrès
hal-01423502v1
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On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problemsJournal of Heuristics, 2012, 18 (2), pp.317-352. ⟨10.1007/s10732-011-9181-3⟩
Article dans une revue
istex
hal-00628215v2
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On optimizing a bi-objective flowshop scheduling problem in uncertain environmentComputers & Mathematics with Applications, 2012, 64 (2), pp.3747-3762. ⟨10.1016/j.camwa.2012.02.051⟩
Article dans une revue
hal-00676627v1
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Metaheuristics-based Exploration Strategies for Multi-Objective Reinforcement Learning14th International Conference on Agents and Artificial Intelligence, Feb 2022, Online Streaming, France. pp.662-673, ⟨10.5220/0010989100003116⟩
Communication dans un congrès
hal-03708802v1
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Peer to peer computing for large tree exploration-based exact optimizationInternational Journal of Grid and Utility Computing, 2009, 1 (3), pp.252-260. ⟨10.1504/IJGUC.2009.027652⟩
Article dans une revue
hal-00836778v1
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A Pareto-based GA for Scheduling HPC Applications on Distributed Cloud InfrastructuresHPCS, Jul 2011, Istanbul, Turkey
Communication dans un congrès
inria-00637752v1
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GPU-based Approaches for Multiobjective Local Search Algorithms. A Case Study: the Flowshop Scheduling Problem11th European Conference on Evolutionary Computation in Combinatorial Optimisation, 2011, Torino, Italy
Communication dans un congrès
inria-00638811v1
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GPU-based Multi-start Local Search AlgorithmsLearning and Intelligent Optimization, 2011, Rome, Italy
Communication dans un congrès
inria-00638813v1
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A parallel insular model for location areas planning in mobile networksNIDISC'2008 Nature Inspired Distributed Computing Workshop in conjunction with IEEE Int. Symposium on Parallel and Distributed Processing IPDPS'2008, Apr 2009, Miami, United States
Communication dans un congrès
hal-00837539v1
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A possibilistic framework for solving multi-objective problems under uncertaintyIEEE NIDISC Workshop on Nature Inspired Computing, May 2013, Boston, United States
Communication dans un congrès
hal-00837569v1
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Metaheuristics: A unified viewKeynote speaker: IESM'2011 Int. Conf. on Industrial Engineering and Systems Management, May 2011, Metz, France
Communication dans un congrès
hal-00837575v1
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Coloring based Hierarchical Routing ApproachThe 4th International Conference on Ambient Systems, Networks and Technologies, Jun 2013, Halifax, Canada
Communication dans un congrès
hal-00782013v1
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A Preliminary Work on Evolutionary Identification of Protein Variants and New Proteins on GridsAINA 2006, HIPCOMB Workshop, Apr 2006, Vienne, Austria
Communication dans un congrès
inria-00270867v1
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Using genetic algorithms for robot motion planningLectures Notes in Computer Science 708, Geometric Reasoning for perception and action, Springer-Verlag, 1993
Chapitre d'ouvrage
hal-00106272v1
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The Ariadne's clew algorithm; From Animal to Animats1992
Communication dans un congrès
hal-00089346v1
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A Parallel Multi-Objective Evolutionary Algorithm for Phylogenetic InferenceLearning and Intelligent Optimization LION 4, LNCS No.3410, 2010, Venise, Italy. pp.196-199, ⟨10.1007/978-3-642-13800-3_17⟩
Communication dans un congrès
istex
inria-00522658v1
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P2P B&B and GA for the flow-shop scheduling problemSpringer. Metaheuristics for Scheduling in Distributed Computing Environments, 146, Springer, pp.301-321, 2008, Studies in Computational Intelligence, ⟨10.1007/978-3-540-69277-5_11⟩
Chapitre d'ouvrage
istex
hal-00690360v1
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Multi-Swarm optimization for dynamic combinatorial problems: A case study on dynamic vehicle routing problemAnts 2010: Seventh International Conference on Swarm Intelligence, Sep 2010, Bruxelles, Belgium. pp.227-238, ⟨10.1007/978-3-642-15461-4_20⟩
Communication dans un congrès
istex
hal-00690620v1
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Parallel Hyperparameter Optimization Of Spiking Neural Networks2023
Pré-publication, Document de travail
hal-04464394v1
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Parallel Beam Search for Combinatorial OptimizationInternational Workshop on Parallel and Distributed Algorithms and Decision Sciences (PDADS 2022), Aug 2022, Bordeaux, France
Communication dans un congrès
hal-03773423v1
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Bayesian Optimization using Deep Gaussian Processes2020
Pré-publication, Document de travail
hal-02924230v1
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A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software frameworkIEEE Symposium on Computational intelligence in Multi-Criteria Decision-Making (IEEE~MCDM 2009), Mar 2009, Nashville, United States. pp.88-95, ⟨10.1109/SSCI.2016.7850229⟩
Communication dans un congrès
hal-00763710v1
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An analysis of dynamic mutation operators for conformational samplingA. Lewis and S. Mostaghim and M. Randall. Biologically-inspired Optimization Methods, Springer, pp.291-323, 2009
Chapitre d'ouvrage
hal-00838123v1
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Artificial Evolution 8th International Conference, Évolution ArtificielleLNCS - Springer, 2008, ⟨10.1007/978-3-540-79305-2⟩
Ouvrages
hal-01067807v1
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ParadisEO-MO: From Fitness Landscape Analysis to Efficient Local Search Algorithms[Research Report] RR-7871, INRIA. 2013
Rapport
hal-00665421v2
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Métaheuristiques pour le flow-shop de permutation bi-objectif stochastiqueRevue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2008, 22 (2), pp.183--208
Article dans une revue
inria-00269981v1
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