DocumentCode
313659
Title
A genetic algorithm for job shop scheduling in real time
Author
Zhiming, Wu ; Chunwei, Zhao
Author_Institution
Dept. of Autom., Shanghai Jiaotong Univ., China
Volume
1
fYear
1997
fDate
4-6 Jun 1997
Firstpage
162
Abstract
This paper presents a GA (genetic algorithm) combined with GT (group technology) approach to job shop scheduling problems, that is, organizing jobs into groups using GT, solving group scheduling by GA, due to the similarities, jobs within a group being treated as flow shop mode. Tactics of GA in real time application are explored latterly. Experimentation are given in both sections
Keywords
genetic algorithms; production control; real-time systems; GA; GT; flow shop mode; genetic algorithm; group scheduling; group technology; real-time job shop scheduling; Computational efficiency; Equations; Genetic algorithms; Job shop scheduling; Least squares approximation; Least squares methods; Organizing;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1997. Proceedings of the 1997
Conference_Location
Albuquerque, NM
ISSN
0743-1619
Print_ISBN
0-7803-3832-4
Type
conf
DOI
10.1109/ACC.1997.611776
Filename
611776
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