Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm

Dynamic constrained multiobjective optimization problems (DCMOPs) abound in real-world applications and gain increasing attention in the evolutionary computation community. To evaluate the capability of an algorithm in solving dynamic constrained multiobjective optimization problems (DCMOPs), artifi...

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Bibliographic Details

Published in:	IEEE transactions on evolutionary computation Vol. 28; no. 5; pp. 1381 - 1395
Main Authors:	Chen, Guoyu, Guo, Yinan, Wang, Yong, Liang, Jing, Gong, Dunwei, Yang, Shengxiang
Format:	Journal Article
Language:	English
Published:	IEEE 01.10.2024
Subjects:	Benchmark testing Diversity Diversity reception dynamic constrained multiobjective optimization evolutionary algorithm Heuristic algorithms Linear programming Optimization Sociology Statistics test suite
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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