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A Genetic Algorithm Approach to the Buyers' Welfare Problem of Product Line Design: A Comparative Computational Study
Yugoslav journal of operations research, Tome 9 (1999) no. 2, p. 223 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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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.
Classification : 90B30 90C59 90C09
Keywords: Genetic algorithm . product line design, buyers' welfare problem, marketing. 
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     author = {Georgia Alexouda and Konstantinos Paparrizos},
     title = {A {Genetic} {Algorithm} {Approach} to the {Buyers'} {Welfare} {Problem} of {Product} {Line} {Design:} {A} {Comparative} {Computational} {Study}},
     journal = {Yugoslav journal of operations research},
     pages = {223 },
     year = {1999},
     volume = {9},
     number = {2},
     zbl = {1006.90031},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_1999_9_2_a5/}
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Georgia Alexouda; Konstantinos Paparrizos. A Genetic Algorithm Approach to the Buyers' Welfare Problem of Product Line Design: A Comparative Computational Study. Yugoslav journal of operations research, Tome 9 (1999) no. 2, p. 223 . http://geodesic.mathdoc.fr/item/YJOR_1999_9_2_a5/