A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems

To directly address problems involving uncertain objectives and constraints, a novel penalty function-based interval constrained multi-objective optimization algorithm (PF-ICMOA) was developed. It comprises three main components: an uncertainty propagation-based interval constraint solver, an interv...

Celý popis

Podrobná bibliografie

Vydáno v:	Swarm and evolutionary computation Ročník 88; s. 101584
Hlavní autoři:	Yu, Qianqian, Yang, Chen, Dai, Guangming, Peng, Lei, Li, Jian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.07.2024
Témata:	Constrained multi-objective optimization Constraint violations Constraint-handling techniques Interval uncertain optimization Penalty function Constrained multi-objective optimization Penalty function Constraint-handling techniques Interval uncertain optimization Constraint violations
ISSN:	2210-6502
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!