Multiobjective optimization with a quadratic surrogate-assisted CMA-ES

Autor: Gharafi, Mohamed, Hansen, Nikolaus, Brockhoff, Dimo, Le Riche, Rodolphe

Publikováno v: GECCO 2023-Genetic and Evolutionary Computation Conference
GECCO 2023-Genetic and Evolutionary Computation Conference, GECCO, Jul 2023, Lisbon, Portugal. ⟨10.1145/3583131.3590492⟩
Genetic and Evolutionary Computation Conference (GECCO ’23)
Genetic and Evolutionary Computation Conference (GECCO ’23), GECCO, Jul 2023, Lisbon, Portugal. ⟨10.1145/3583131.3590492⟩

International audience; We present a surrogate-assisted multiobjective optimization algorithm. The aggregation of the objectives relies on the Uncrowded Hypervolume Improvement (UHVI) which is partly replaced by a linear-quadratic surrogate that is i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::468a649f34acfc0b4accfea5c412b5a2
https://hal.science/hal-04078483/file/gharafi2023multiobjective.pdf