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pro vyhledávání: '"Vincent Hénaux"'
Publikováno v:
International Transactions in Operational Research
International Transactions in Operational Research, Wiley, 2021, 20 (3), pp.345-361. ⟨10.1111/itor.12906⟩
International Transactions in Operational Research, Wiley, 2021, 20 (3), pp.345-361. ⟨10.1111/itor.12906⟩
International audience
Publikováno v:
2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)
2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2020, Baltimore, France. pp.564-571, ⟨10.1109/ICTAI50040.2020.00093⟩
ICTAI
2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2020, Baltimore, France. pp.564-571, ⟨10.1109/ICTAI50040.2020.00093⟩
ICTAI
Local search algorithms consist in evolving a solution guided by a fitness function, which is usually directly derived from the objective function of the problem. Solving difficulties appear when the fitness landscape, naturally induced by the proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8adaf7423469286688a27fe51d5fa595
https://hal.archives-ouvertes.fr/hal-03421013
https://hal.archives-ouvertes.fr/hal-03421013
Publikováno v:
GECCO Companion
GECCO '20: Genetic and Evolutionary Computation Conference
GECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún Mexico, France. pp.101-102, ⟨10.1145/3377929.3390025⟩
GECCO '20: Genetic and Evolutionary Computation Conference
GECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún Mexico, France. pp.101-102, ⟨10.1145/3377929.3390025⟩
Solving an optimization problem with a local search algorithm consists in navigating within a search landscape, guided by a fitness function often directly defined from the objective function of the problem. The exploration of the resulting fitness l