An efficient genetic algorithm for solving nonlinear optimization problems defined with fuzzy relational equations and max-Lukasiewicz composition

•A nonlinear optimization problem with a system of fuzzy relational equations as its constraints is studied.•A genetic algorithm is presented, which preserves the feasibility of new generated solutions.•The proposed GA does not need to initially find the minimal solutions.•The obtained results confi...

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Veröffentlicht in:	Applied soft computing Jg. 69; S. 475 - 492
Hauptverfasser:	Ghodousian, Amin, Babalhavaeji, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2018
Schlagworte:	Fuzzy relational equations genetic algorithm Nonlinear optimization genetic algorithm Fuzzy relational equations Nonlinear optimization
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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