Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction

Dynamic constrained multiobjective optimization problems (DCMOPs) involve complex changes in objective functions and constraints over time. These changes challenge most existing algorithms to quickly cross infeasible regions and accurately track the changing Pareto optimal set (POS) and Pareto optim...

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Bibliographic Details

Published in:	IEEE transactions on evolutionary computation Vol. 29; no. 5; pp. 1604 - 1618
Main Authors:	Gong, Quan, Xia, Yizhang, Zou, Juan, Hou, Zhanglu, Liu, Yuan
Format:	Journal Article
Language:	English
Published:	IEEE 01.10.2025
Subjects:	Constraint handling Convergence Dynamic constrained multiobjective optimization Dynamic response Evolutionary computation Heuristic algorithms Linear programming multiobjective optimization problems (MOPs) Optical fibers Optimization Pareto optimization Prediction algorithms prediction strategy
ISSN:	1089-778X
Online Access:	Get full text
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