Optimal product line design: genetic algorithm approach to mitigate cannibalization
type: Item
instance of: scholarly article
title: Optimal product line design: genetic algorithm approach to mitigate cannibalization
zbMATH Open document ID: 1139.90433
author: A. Fligler
author: Gila E. Fruchter
author: Russell S. Winer
published in: Journal of Optimization Theory and Applications
publication date: 2007-03-06T00:00:00Z
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90B30
Mathematics Subject Classification ID: 90B60
zbMATH DE Number: 5131176
zbMATH Keywords: Genetic algorithms
zbMATH Keywords: heuristics
zbMATH Keywords: product line design
zbMATH Keywords: cannibalization
zbMATH Keywords: pricing
zbMATH Keywords: marketing
MaRDI profile type: Publication
full work available at URL: s10957-006-9135-3
OpenAlex ID: W3123449022
cites work: Optimal product design using conjoint analysis: Computational complexity and algorithms
cites work: Genetic Algorithms for Product Design
cites work: Near Optimal Solutions for Product Line Design and Selection: Beam Search Heuristics
cites work: A genetic algorithm approach to the product line design problem using the seller's return criterion: An extensive comparative computational study
cites work: Q4692508
cites work: Q4382646
DOI: 10.1007/S10957-006-9135-3
description: scientific article; zbMATH DE number 5131176