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Fuzzy assembly line balancing using genetic algorithms

delete1996-12-01
delete55
PRE
AI
M
Mitsuo Gen *
Y
Y. Tsujimura
Y
Yinxiu Li
DOI:10.1016/S0360-8352(96)00277-Xdelete
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Abstract

Abstract

En 中文
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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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Computers and Industrial Engineering cover
Computers and Industrial Engineering
IF:
6.5
Papers:
1.0W
Citations:
3.8W

Organization

No organization information available
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