Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis

With the rising number of large-scale multiobjective optimization problems (LSMOPs) from academia and industries, some multiobjective evolutionary algorithms (MOEAs) with different decision variable handling strategies have been proposed. Decision variable analysis (DVA) is widely used in large-scal...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 28; číslo 1; s. 1
Hlavní autori:	He, Cheng, Cheng, Ran, Li, Lianghao, Tan, Kay Chen, Jin, Yaochu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Convergence Decision analysis decision variable analysis Effectiveness evolutionary algorithm Evolutionary algorithms Iron Large-scale optimization Maintenance engineering Multiple objective analysis Optimization problem reformulation Sociology Statistics Variables Visualization
ISSN:	1089-778X, 1941-0026
On-line prístup:	Získať plný text
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