Design and selection of products via genetic algorithms and neural networks

Paola Palmitesta, Corrado Provasi and Cosimo Spera

Applied Stochastic Models in Business and Industry, 1999, vol. 15, issue 4, 409-417

Abstract: 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 specific consumer product, we believe that it is worth to continue the analysis of this methodology. Copyright © 1999 John Wiley & Sons, Ltd.

Date: 1999
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https://doi.org/10.1002/(SICI)1526-4025(199910/12)15:43.0.CO;2-V

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:15:y:1999:i:4:p:409-417

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