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...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 88; S. 101584
Hauptverfasser:	Yu, Qianqian, Yang, Chen, Dai, Guangming, Peng, Lei, Li, Jian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2024
Schlagworte:	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
Online-Zugang:	Volltext
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