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Author:Lee, C. Y.
Piramuthu, S.
Tsai, Y. K.
Title:Job shop scheduling with a genetic algorithm and machine learning (Maschinenbelegungsplanung)
Journal:International Journal of Production Research
1997 : APR, VOL. 35:4, p. 1171-1191
Index terms:
Freeterms:FERTIGUNGSSTEUERUNG,
FERTIGUNGSPROGRAMMPLANUNG
Language:eng
Abstract:Researchers have used various artificial intelligence techniques to solve job shop scheduling problems: expert systems , genetic algorithms and machine learning. This paper proposes to combine complementarily the strengths of genetic algorithms and induced decision trees, a machine learning technique, to develop a job shop scheduling system. Empirical results, using machine learning for releasing jobs into the shopfloor and a genetic algorithm to dispatch jobs at each machine, are promising.
SCIMA record nr: 166228
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