Active Sets for Explicitly Constrained Evolutionary Optimization.
Evol Comput
; 30(4): 531-553, 2022 Dec 01.
Article
em En
| MEDLINE
| ID: mdl-35486448
ABSTRACT
Active-set approaches are commonly used in algorithms for constrained numerical optimization. We propose that active-set techniques can beneficially be employed for evolutionary black-box optimization with explicit constraints and present an active-set evolution strategy. We experimentally evaluate its performance relative to those of several algorithms for constrained optimization and find that the active-set evolution strategy compares favourably for the problem set under consideration.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Evolução Biológica
Idioma:
En
Revista:
Evol Comput
Assunto da revista:
BIOLOGIA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Áustria