Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization

Dynamic constrained multiobjective optimization problems (DCMOPs) are characterized by multiple conflicting optimization objectives and constraints that vary over time. The presence of both dynamism and constraints underscores the importance of preserving population diversity. This diversity is esse...

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Bibliographic Details

Published in:	IEEE transactions on evolutionary computation Vol. 29; no. 5; pp. 1990 - 2003
Main Authors:	Wang, Zhenzhong, Xu, Dejun, Jiang, Min, Chen Tan, Kay
Format:	Journal Article
Language:	English
Published:	IEEE 01.10.2025
Subjects:	Convergence Dynamic constrained multiobjective optimization evolutionary multitasking optimization Heuristic algorithms Knowledge transfer Optimization Pareto optimization Search problems Task analysis test suite
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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