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An iterated greedy heuristic for a market segmentation problem with multiple attributes

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An iterated greedy heuristic for a market segmentation problem with multiple attributes

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Huerta-Muñoz, D.; Ríos-Mercado, RZ.; Ruiz García, R. (2017). An iterated greedy heuristic for a market segmentation problem with multiple attributes. European Journal of Operational Research. 261(1):75-87. https://doi.org/10.1016/j.ejor.2017.02.013

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/151054

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Title: An iterated greedy heuristic for a market segmentation problem with multiple attributes
Author: Huerta-Muñoz, D.L. Ríos-Mercado, Roger Z. Ruiz García, Rubén
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
[EN] A real-world customer segmentation problem from a beverage distribution firm is addressed. The firm wants to partition a set of customers, who share geographical and marketing attributes, into segments according to ...[+]
Subjects: Metaheuristics , Market segmentation , Iterated greedy heuristics , GRASP , Variable neighborhood search
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
European Journal of Operational Research. (issn: 0377-2217 )
DOI: 10.1016/j.ejor.2017.02.013
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.ejor.2017.02.013
Thanks:
This research has been supported by the Mexican National Council for Science and Technology (CONACYT) through grants CB2005-01-48499Y and CB2011-01-166397, and a scholarship for graduate studies, and by the Universidad ...[+]
Type: Artículo

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