A dynamic multi-objective evolutionary algorithm based on geometric prediction and vector–scalar transformation strategy

Dynamic multi-objective evolutionary algorithms (DMOEAs) have attracted significant attention from scholars due to their strong robustness and wide range of applications across various fields. A current research focus is on how to quickly track the changing Pareto Set (PS) and Pareto Front (PF); how...

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Vydáno v:	Swarm and evolutionary computation Ročník 96; s. 101987
Hlavní autoři:	Zhao, Yan, Ma, Yongjie, Yang, Yue
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.07.2025
Témata:	Dynamic multi-objective optimization Geometric prediction Mirror adjustment strategy Vector–scalar transformation Mirror adjustment strategy Dynamic multi-objective optimization Geometric prediction Vector–scalar transformation
ISSN:	2210-6502
On-line přístup:	Získat plný text
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