A Statistical comparative analysis of Simulated Annealing and Variable Neighborhood Search for the Geographic Clustering Problem

This paper describes a factorial statistical study that compares the quality of solutions produced by two heuristics: Simulated Annealing (SA) and Variable Neighborhood Search (VNS). These methods are used to solve the Geographic Clustering Problem (GCP), and the quality of the solutions produced fo...

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Detalhes bibliográficos
Publicado no:Computación y Sistemas
Main Authors: Beatriz Bernábe Loranca, José E. Espinosa Rosales, Javier Ramírez Rodríguez, María A. Osorio Lama
Formato: Artigo
Idioma:Inglês
Publicado em: Instituto Politécnico Nacional 2011
Assuntos:
Computación
Design
Algorithms
Heuristics
Experimentation
Geographic Clustering Problem
Acesso em linha:https://www.redalyc.org/articulo.oa?id=61520765008
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