A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems

To promote research on dynamic constrained multiobjective optimization, we first propose a group of generic test problems with challenging characteristics, including different modes of the true Pareto front (e.g., convexity-concavity and connectedness-disconnectedness) and the changing feasible regi...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 24; H. 4; S. 792 - 806
Hauptverfasser:	Chen, Qingda, Ding, Jinliang, Yang, Shengxiang, Chai, Tianyou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Change detection Change response Concavity Constraints Convergence Convexity Design optimization dynamic constrained multiobjective optimization Evolutionary algorithms Heuristic algorithms Linear programming Multiple objective analysis Optical fibers Optimization Pareto optimization Population population selection Sociology Statistics Strategy test problems
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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