An Unconstrained Auxiliary Framework for Constrained Many-Objective Optimization

Constrained many-objective optimization problems (CMaOPs) include the optimization of many objective functions and satisfaction of constraints, which seriously enhance the difficulty of problems. Although several constrained many-objective evolutionary algorithms (CMaOEAs) have been designed, they s...

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Bibliographic Details

Published in:	2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS) pp. 1 - 8
Main Authors:	Qiao, Kangjia, Liang, Jing, Bi, Ying, Yu, Kunjie, Yue, Caitong, Qu, Boyang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.09.2023
Subjects:	Auxiliary task Benchmark testing Complex systems Constrained many-objective optimization Evolutionary computation Linear programming Optimization Task analysis Unconstrained
Online Access:	Get full text
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