A reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation

Maintaining a balance between convergence and diversity is a challenge for multiobjective evolutionary optimization. As crossover operators can affect the offspring distribution, an adaptive operator selection and reference vector based evolutionary algorithm (OVEA) for multiobjective optimization i...

Celý popis

Podrobná bibliografia

Vydané v:	Swarm and evolutionary computation Ročník 76; s. 101225
Hlavní autori:	Jiao, Keming, Chen, Jie, Xin, Bin, Li, Li
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2023
Predmet:	Adaptive operator selection Multiobjective evolutionary algorithm Q-learning Reference vector Q-learning Adaptive operator selection Multiobjective evolutionary algorithm Reference vector
ISSN:	2210-6502
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!