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Design and selection of products via genetic algorithms and neural networks

✍ Scribed by Paola Palmitesta; Corrado Provasi; Cosimo Spera

Publisher: John Wiley and Sons
Year: 1999
Tongue: English
Weight: 129 KB
Volume: 15
Category: Article
ISSN: 1524-1904
DOI: 10.1002/(sici)1526-4025(199910/12)15:4<409::aid-asmb404>3.0.co;2-v

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✦ Synopsis

In the paper we address the design and selection of products in the framework of genetic algorithms and neural networks. We propose a procedure in alternative to the current methodologies and illustrate its advantages and disadvantages. The results of a real-world application are reported. Although these results refer to a speci"c consumer product, we believe that it is worth to continue the analysis of this methodology.

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