Optimal product line design: genetic algorithm approach to mitigate cannibalization

DOI10.1007/s10957-006-9135-3zbMath1139.90433OpenAlexW3123449022MaRDI QIDQ868585

A. Fligler, Russell S. Winer, Gila E. Fruchter

Publication date: 6 March 2007

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-006-9135-3

zbMATH Keywords

heuristicsGenetic algorithmsmarketingpricingproduct line designcannibalization

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30) Marketing, advertising (90B60)

Related Items (4)

Integrating supplier selection in optimal product family design ⋮ On the product line selection problem under attraction choice models of consumer behavior ⋮ Product line optimization in the presence of preferences for compromise alternatives ⋮ Clonal selection algorithms for optimal product line design: a comparative study

Cites Work

• Optimal product design using conjoint analysis: Computational complexity and algorithms
• Genetic Algorithms for Product Design
• Near Optimal Solutions for Product Line Design and Selection: Beam Search Heuristics
• A genetic algorithm approach to the product line design problem using the seller's return criterion: An extensive comparative computational study
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