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Production scheduling using genetic algorithms

: Becker, B.-D.; Schulte, J.

National Research Council of Canada -NRCC-, Ottawa:
Information Control Problems in Manufacturing Technology. Vol. 1. Preprints
Oxford: Pergamon Press, 1992
Symposium on Information Control Problems in Manufacturing Technology <7, 1992, Toronto>
Fraunhofer IPA ()
genetic algorithm; operations research; Prozeß; Prozeßmodell; simulation

Based on promising results of genetic algorithm (GA) research, a modelling language for manufacturing processes is presented. This language is to help a user to formulate a production scheduling problem in a GA-independent way. Problems may be transferred automatically into the underlying GA representation. This coding is explained and related to GA operator types. Results obtained so far are presented.