Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions

Dynamic constrained multiobjective optimization problems include irregular and discontinuous feasible regions, segmented true Pareto front, and dynamic environments. To address these problems, we design a dynamic constrained multiobjective optimization algorithm based on dual-population evolution. T...

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Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence Jg. 9; H. 2; S. 1352 - 1366
Hauptverfasser:	Jiang, Xiaoxu, Chen, Qingda, Ding, Jinliang, Zhang, Xingyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Constraint handling Constraints Convergence dual-population Dynamic constrained multiobjective optimization Dynamic response Evolutionary algorithms Feasibility Heuristic algorithms Multiple objective analysis Optical fibers Optimization Pareto optimization Populations Power supplies Prediction methods Production Resampling test suit Vectors
ISSN:	2471-285X, 2471-285X
Online-Zugang:	Volltext
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