DocumentCode :
3758795
Title :
Job shop scheduling based on genetic algorithm using Matlab
Author :
Xiao Yang;Jianming Wang;Minglei Hou;Xiaoliang Fan
Author_Institution :
School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding, China
fYear :
2015
Firstpage :
772
Lastpage :
775
Abstract :
This paper briefly introduces the principle and characteristics of genetic algorithm, as well as the basic operation and the solving steps. The fitness function was built based on the objective function. The operator algorithms of replication, crossover and mutation were designed. The flexible job shop scheduling is optimized by designing the program based on MATLAB using the genetic algorithm. The genetic algorithm in this paper is tested on instances taken from the literature and compared with their results. The computation results show that the genetic algorithm referred in this paper is feasible and effective.
Keywords :
"Decision support systems","Job shop scheduling","MATLAB","Genetic algorithms","Erbium","Sociology","Statistics"
Publisher :
ieee
Conference_Titel :
Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
Print_ISBN :
978-1-4799-1979-6
Type :
conf
DOI :
10.1109/IAEAC.2015.7428660
Filename :
7428660
Link To Document :
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