Dynamic constrained multi-objective optimization based on adaptive combinatorial response mechanism

In dynamic multi-objective optimization problems (DMOPs), objective functions, problem parameters, and constraints may change over time. Mainly, DMOPs use response mechanisms to generate the initial population after the environment changes. In this research, we develop an adaptive version of the com...

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Vydané v:	Applied soft computing Ročník 155; s. 111398
Hlavní autori:	Aliniya, Zahra, Khasteh, Seyed Hossein
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.04.2024
Predmet:	Adaptive combinatorial response mechanism Constraint handling technique Dynamic constrained multi-objective optimization Evolutionary algorithm Reinforcement learning Dynamic constrained multi-objective optimization Adaptive combinatorial response mechanism Evolutionary algorithm Reinforcement learning Constraint handling technique
ISSN:	1568-4946, 1872-9681
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