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Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms

Oliver Schütze 1 Carlos A. Coello Coello 1 Emilia Tantar 2 El-Ghazali Talbi 3 
2 ALEA - Advanced Learning Evolutionary Algorithms
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5251
3 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
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Conference papers
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https://hal.inria.fr/hal-00837522
Contributor : TALBI El-Ghazali Connect in order to contact the contributor
Submitted on : Saturday, June 22, 2013 - 5:44:26 PM
Last modification on : Thursday, January 20, 2022 - 5:27:51 PM

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  • HAL Id : hal-00837522, version 1

Citation

Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi. Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. GECCO'2008 Genetic and Evolutionary Computations Conference, Jul 2008, Atlanta, United States. pp.713-720. ⟨hal-00837522⟩

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