Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
Nenhuma Miniatura disponível
Data
2011-05-01
Autores
Chaves, Antonio Augusto [UNESP]
Nogueira Lorena, Luiz Antonio
Título da Revista
ISSN da Revista
Título de Volume
Editor
Pergamon-Elsevier B.V. Ltd
Resumo
The Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand capacity. The problem is well known to be NP-hard and has many practical applications. In this paper, the hybrid method Clustering Search (CS) is implemented to solve the CCCP. This method identifies promising regions of the search space by generating solutions with a metaheuristic, such as Genetic Algorithm, and clustering them into clusters that are then explored further with local search heuristics. Computational results considering instances available in the literature are presented to demonstrate the efficacy of CS. (C) 2010 Elsevier Ltd. All rights reserved.
Descrição
Palavras-chave
Clustering problems, Clustering search algorithm, Genetic Algorithm, Metaheuristics
Como citar
Expert Systems With Applications. Oxford: Pergamon-Elsevier B.V. Ltd, v. 38, n. 5, p. 5013-5018, 2011.