Genetic Algorithm for single machine scheduling problem with setup times

被引:2
|
作者
OuYang, Quan [1 ]
Xu, HongYun [1 ]
机构
[1] JiangHan Univ, Sch Math & Comp Sci, Wuhan, Peoples R China
关键词
single machine scheduling; genetic algorithm; crossover; mutation; selection; TOTAL WEIGHTED TARDINESS;
D O I
10.4028/www.scientific.net/AMM.457-458.1678
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes a genetic algorithm to solve the single machine scheduling problem with setup times, which uses the fixed two point crossover operator (F2PX) to produce new offspring chromosomes and uses the roulette wheel method in the selection of the chromosome population. In order to avoid the premature convergence we use a neighborhood based mutation operator to conduct disturbance in our genetic algorithm. Through the application of this genetic algorithm in practical scheduling problems, the effect of the genetic algorithm proposed in this paper is remarkable.
引用
收藏
页码:1678 / 1681
页数:4
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