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Fuzzy assembly line balancing using genetic algorithms
Authors:Mitsuo Gen   Yashuhiro Tsujimura  Yinxiu Li
Affiliation:

Department of Industrial and Systems Engineering Ashikaga Institute of Technology, Ashikaga 326, Japan

Abstract:In this paper, we implement genetic algorithms to synthesis fuzzy assembly line balancing problem which is well-known as a NP-hard problem. The genetic operators concerned with the feasibility of chromosomes will be discussed, and its performance will be shown with a numerical example.
Keywords:Genetic Algorithms   Assembly Line Balancing   Combinatorial Optimization   Fuzzy Numbers
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