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Communication dans un congrès

Toward an Efficient Exploration of Fitness Landscapes

Abstract :

Within local search algorithms, descent methods are rarely studied experimentally. However,
these search techniques are the basis of many modern metaheuristics and have an influence on the
ability of an algorithm to achieve good solutions of a fitness landscape. Through a large empirical study
of classic runs, we show that certain ideas about descents methods are false. These results indicate
that it is possible to make a descent ’intelligent’ and lead to better solutions, regardless of the problem
addressed.

Type de document :
Communication dans un congrès
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https://hal.univ-angers.fr/hal-03256589
Contributeur : Okina Université d'Angers <>
Soumis le : jeudi 10 juin 2021 - 12:29:12
Dernière modification le : vendredi 11 juin 2021 - 03:29:58

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  • HAL Id : hal-03256589, version 1
  • OKINA : ua7690

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Citation

Matthieu Basseur, Adrien Goëffon. Toward an Efficient Exploration of Fitness Landscapes. Gaspard Monge Program for Optimization - Conference on Opitmization & Practices in Industry, 2014, Non spécifié, Portugal. ⟨hal-03256589⟩

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