Multi-spatial information joint guidance evolutionary algorithm for dynamic multi-objective optimization with a changing number of objectives

Existing research on dynamic multi-objective optimization problems involving changes in the number of objectives has received little attention, but it is widespread in practical applications. This problem would cause the expansion or contraction of the manifold in the objective space. If it is accom...

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Vydané v:	Neural computing & applications Ročník 35; číslo 20; s. 15167 - 15199
Hlavní autori:	Ma, Xuemin, Sun, Hao, Hu, Ziyu, Wei, Lixin, Yang, Jingming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.07.2023 Springer Nature B.V
Predmet:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Dynamic response Evolutionary algorithms Genetic algorithms Image Processing and Computer Vision Multiple objective analysis Original Article Pareto optimization Probability and Statistics in Computer Science Spatial data Multi-objective optimization Dynamic multi-objective optimization Evolutionary algorithm Changing objectives
ISSN:	0941-0643, 1433-3058
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