A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization

A novel multiobjective technique is proposed for solving constrained optimization problems (COPs) in this paper. The method highlights three different perspectives: 1) a COP is converted into an equivalent dynamic constrained multiobjective optimization problem (DCMOP) with three objectives: a) the...

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Vydané v:	IEEE transactions on cybernetics Ročník 47; číslo 9; s. 2678 - 2688
Hlavní autori:	Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li, Alkasassbeh, Jawdat S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.09.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Constrained optimization Constraints dynamic multiobjective optimization Evolutionary algorithms Evolutionary computation Evolutionary design method Genetic algorithms Heuristic algorithms Linear programming multiobjective optimization Multiple objective analysis Optimization Pareto optimization Sociology
ISSN:	2168-2267, 2168-2275, 2168-2275
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