An Adaptive Two-Population Evolutionary Algorithm for Constrained Multi-Objective Optimization Problems

Striking a balance between objective optimization and constraint satisfaction is essential for solving constrained multi-objective optimization problems (CMOPs). Nevertheless, most existing evolutionary algorithms face significant challenges on CMOPs with intricate infeasible regions. To tackle thes...

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發表在:	IEEE Access
Main Authors:	Kaiwen Zhao, Peng Wang, Xiangrong Tong
格式:	Article
語言:	英语
出版:	IEEE 2023-01-01
主題:	Constrained multi-objective optimization evolutionary algorithm two-population collaboration mechanism multi-state objective optimization constraint satisfaction
在線閱讀:	https://ieeexplore.ieee.org/document/10198251/