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...

Full description

Saved in:

Bibliographic Details
Published in:	Applied soft computing Vol. 69; pp. 475 - 492
Main Authors:	Ghodousian, Amin, Babalhavaeji, Ali
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2018
Subjects:	Fuzzy relational equations genetic algorithm Nonlinear optimization genetic algorithm Fuzzy relational equations Nonlinear optimization
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!