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Multicriteria inventory classification using a genetic algorithm

✍ Scribed by H. Altay Guvenir; Erdal Erel

Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 739 KB
Volume: 105
Category: Article
ISSN: 0377-2217
DOI: 10.1016/s0377-2217(97)00039-8

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✦ Synopsis

One of the application areas of genetic algorithms is parameter optimization. This paper addresses the problem of optimizing a set of parameters that represent the weights of criteria, where the sum of all weights is 1. A chromosome represents the values of the weights, possibly along with some cut-off points. A new crossover operation, called continuous uniform crossover, is proposed, such that it produces valid chromosomes given that the parent chromosomes are valid. The new crossover technique is applied to the problem of multicriteria inventory classification. The results are compared with the classical inventory classification technique using the Analytical Hierarchy Process. @ 1998 Elsevier Science B.V.

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