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 :
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