Job shop scheduling problems with genetic algorithms

被引:0
|
作者
Ferrolho, Antonio [1 ,2 ]
Crisostomo, Manuel [2 ]
Wojcik, Robert [3 ]
机构
[1] Super Sch Technol Viseu, Polytech Inst Viseu, Campus Politecn Repeses, P-3504510 Viseu, Portugal
[2] Univ Coimbra, Inst Syst & Robot, Dept Elect & Comp Engn, P-3030290 Coimbra, Portugal
[3] Wroclaw Univ Technol, Inst Comp Engn Control & Robot, PL-50372 Wroclaw, Poland
关键词
D O I
10.1109/ICCES.2007.4447029
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Job-Shop Scheduling Problem (JSSP) is an extremely difficult problem because it requires very large combinational search space and the precedence constraint between machines. A software tool called Hybrid and Flexible Genetic Algorithm (HybFlexGA) was developed for solving the JSSP. Computational results demonstrate that the proposed HybFlexGA is very efficient and potentially useful in solving the JSSP. The results obtained with standard JSSP benchmark demonstrate its efficiency.
引用
收藏
页码:76 / +
页数:2
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