A genetic algorithm approach to the buyers' welfare problem of product line design: A comparative computational study

A genetic algorithm approach to the buyers' welfare problem of product line design: A comparative computational study

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Article ID: iaor20002011
Country: Serbia
Volume: 9
Issue: 2
Start Page Number: 223
End Page Number: 233
Publication Date: Jul 1999
Journal: Yugoslav Journal of Operations Research
Authors: ,
Keywords: genetic algorithms
Abstract:

In this paper we present a Genetic Algorithm based heuristic for solving the Product Line Design Problem using the Buyers' Welfare Criterion. The new approach is compared with a recently developed Beam Search method on randomly generated problems. Our method seems to be substantially better in terms of CPU time. Also, the solutions found by our method are better than those found by the Beam Search method in comparable times.

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