DocumentCode
2158091
Title
An initial study of practical multiobjective production scheduling using genetic algorithms
Author
Shaw, K.J. ; Fleming, P.J.
Author_Institution
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK
Volume
1
fYear
1996
fDate
2-5 Sept. 1996
Firstpage
479
Abstract
Applying genetic algorithms to scheduling problems is a powerful technique which has the potential to be used as a multi-objective optimisation tool. Implementations of multi-objective genetic algorithms (MOGAs) could provide an innovative and interactive decision making technique for adaptive scheduling in practical manufacturing applications. Justification and implementation of MOGA schemes for scheduling are discussed and compared.
Keywords
genetic algorithms; management; operations research; production control; adaptive scheduling; interactive decision making; manufacturing; multiobjective genetic algorithms; multiobjective optimisation; production control; scheduling;
fLanguage
English
Publisher
iet
Conference_Titel
Control '96, UKACC International Conference on (Conf. Publ. No. 427)
ISSN
0537-9989
Print_ISBN
0-85296-668-7
Type
conf
DOI
10.1049/cp:19960599
Filename
651426
Link To Document