Dynamic constrained multi-objective model for solving constrained optimization problem

Constrained optimization problem (COP) is skillfully converted into dynamic constrained multi-objective optimization problem (DCMOP) in this paper. Then dynamic constrained multi-objective evolutionary algorithms (DCMOEAs) can be used to solve the COP problem by solving the DCMOP problem. Seemingly,...

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Veröffentlicht in:	2011 IEEE Congress of Evolutionary Computation (CEC) S. 2041 - 2046
Hauptverfasser:	Sanyou Zeng, Shizhong Chen, Jiang Zhao, Aimin Zhou, Zhengjun Li, Hongyong Jing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2011
Schlagworte:	Algorithm design and analysis Asynchronous transfer mode Benchmark testing Constrained optimization Dynamic multi-objective optimization Dynamic optimization Evolutionary algorithm Evolutionary computation Heuristic algorithms Multi-objective optimization Optimization Search problems
ISBN:	1424478340, 9781424478347
ISSN:	1089-778X
Online-Zugang:	Volltext
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