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

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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Bibliographic Details
Main Authors: Kaiwen Zhao, Peng Wang, Xiangrong Tong
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Constrained multi-objective optimization
evolutionary algorithm
two-population collaboration mechanism
multi-state
objective optimization
constraint satisfaction
Online Access:https://ieeexplore.ieee.org/document/10198251/

Internet

https://ieeexplore.ieee.org/document/10198251/

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