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An evolutionary approach to multi-objective scheduling of mixed model assembly lines

✍ Scribed by G. Celano; S. Fichera; V. Grasso; U. La Commare; G. Perrone


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
386 KB
Volume
37
Category
Article
ISSN
0360-8352

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✦ Synopsis


In this paper a multi-objective genetic algorithm for the scheduling of a mixed model assembly line is proposed, pursuin 8 the line stop time minimisation together with the component usage smoothing. Specific features of the developed GA are step by step random selection of diversified crossover and mutation operators, population control for the substitution of duplicate chromosomes, and in-process upd~" of GA control .parameters. Three different formulation of me titness function were been tested with some distinct line configurations.