DocumentCode
797086
Title
Genetic algorithm for job shop scheduling problems based on two representational schemes
Author
Lae-Jeoung Park ; Hoon Park, Cheol
Author_Institution
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
Volume
31
Issue
23
fYear
1995
fDate
11/9/1995 12:00:00 AM
Firstpage
2051
Lastpage
2053
Abstract
The authors explain the application of a genetic algorithm (GA) to job shop scheduling problems with a new crossover and two kinds of mutation based on two representational schemes. Simulation results show that our genetic operators and representational schemes are very powerful and suitable to job shop scheduling problems
Keywords
genetic algorithms; production control; scheduling; crossover; genetic algorithm; job shop scheduling problems; mutation; representational schemes;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19951385
Filename
490634
Link To Document