DocumentCode :
2231903
Title :
A genetic algorithm for general machine scheduling problems
Author :
Lee, Kyung-Mi ; Yamakawa, Takeshi ; Keon-Myung Lee
Author_Institution :
Syst. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Fukuoka, Japan
Volume :
2
fYear :
1998
fDate :
21-23 Apr 1998
Firstpage :
60
Abstract :
This paper deals with the so-called general machine scheduling problems. In the general machine scheduling problems, job shop type jobs and open shop type jobs are scheduled together and the imposition of precedence constraints is allowed between operations belonging to either the same job or different jobs. This paper proposes a genetic algorithm to solve such general machine scheduling problems. Some experimental results are presented to show the applicability of the proposed method. The method can be used to solve traditional job shop scheduling, flow shop scheduling, and open shop scheduling as well as general machine scheduling problems
Keywords :
genetic algorithms; operations research; production control; flow shop; genetic algorithm; job shop; machine scheduling; open shop; production control; Computer science; Genetic algorithms; Genetic engineering; Job shop scheduling; Manufacturing systems; NP-hard problem; Polynomials; Processor scheduling; Scheduling algorithm; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-4316-6
Type :
conf
DOI :
10.1109/KES.1998.725893
Filename :
725893
Link To Document :
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