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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Bibliographic Details
Published in:	Neural computing & applications Vol. 35; no. 20; pp. 15167 - 15199
Main Authors:	Ma, Xuemin, Sun, Hao, Hu, Ziyu, Wei, Lixin, Yang, Jingming
Format:	Journal Article
Language:	English
Published:	London Springer London 01.07.2023 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
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