Genetic algorithms, function optimization, and facility layout design

Genetic algorithms, function optimization, and facility layout design

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Article ID: iaor1996709
Country: Netherlands
Volume: 63
Issue: 2
Start Page Number: 322
End Page Number: 346
Publication Date: Dec 1992
Journal: European Journal of Operational Research
Authors:
Keywords: programming: integer, artificial intelligence
Abstract:

The use of genetic algorithms to solve function optimization probelms requires a coding scheme that represents solutions as strings of finite length. In this paper, a coding scheme designed for facility layout is presented. A solution is represented by the postorder sequence of the nodes in a slicing tree. New solutions are generated by applying the various genetic operators in each generation. The genetic algorithm approach is compared with a local search technique in solving problems with sizes ranging from 12 to 30 facilities. The results demonstrate that a genetic algorithm can be a viable tool to solve large scale layout problems.

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