An interactive method using genetic algorithm for multi-objective optimization problems modeled in fuzzy environment

In this paper, an interactive approach based method is proposed for solving multi-objective optimization problems. The proposed method can be used to obtain those Pareto-optimal solutions of the mathematical models of linear as well as nonlinear multi-objective optimization problems modeled in fuzzy...

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Veröffentlicht in:	Expert systems with applications Jg. 38; H. 3; S. 1659 - 1667
Hauptverfasser:	Deep, Kusum, Singh, Krishna Pratap, Kansal, M.L., Mohan, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2011
Schlagworte:	Algorithms Fuzzy Fuzzy logic Fuzzy multi-objective optimization Fuzzy set theory Genetic algorithms Interactive methods Mathematical models Nonlinear programming Nonlinearity Optimization Interactive methods Fuzzy multi-objective optimization Nonlinear programming
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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