Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model

In recent years, prediction-based algorithms have made significant progress in solving dynamic multi-objective optimization problems (DMOPs). However, most existing methods only consider information from several consecutive environments and ignore past search experiences. To address the issue, this...

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Vydáno v:	Swarm and evolutionary computation Ročník 98; s. 102067
Hlavní autoři:	Xia, Xuewen, Zeng, Yi, Xu, Xing, Zhang, Yinglong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.10.2025
Témata:	Data augmentation Dynamic multi-objective optimization algorithm Incremental Gaussian mixture model (IGMM) Polynomial mutation Polynomial mutation Data augmentation Incremental Gaussian mixture model (IGMM) Dynamic multi-objective optimization algorithm
ISSN:	2210-6502
On-line přístup:	Získat plný text
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