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Communication Dans Un Congrès Année : 2014

Toward an Efficient Exploration of Fitness Landscapes

Résumé

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.

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Dates et versions

hal-03256589 , version 1 (10-06-2021)

Identifiants

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

Citer

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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