A genetic algorithm approach to job shop scheduling

被引:0
|
作者
Lee, KM [1 ]
Yamakawa, T [1 ]
Uchino, E [1 ]
Lee, KM [1 ]
机构
[1] Kyushu Inst Technol, Sch Comp Sci & Syst Engn, Iizuka, Fukuoka 820, Japan
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a new genetic algorithm for job shop scheduling problems. The proposed genetic algorithm is designed to generate only feasible schedules in the course of schedule evolution. It can be used to solve job shop scheduling problems with various precedence constraints. As precedence constraints, it allows precedence among jobs and precedence among operations at the same machine. To show the applicability of the proposed method, it is applied to Muth-Thompson benchmark problems.
引用
收藏
页码:1030 / 1033
页数:4
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