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Type: Artigo de evento
Title: A Max Min Ant System Applied To The Capacitated Clustering Problem
Author: De Franca F.O.
Von Zuben F.J.
De Castro L.N.
Abstract: This work introduces a modified MAX MIN Ant System (MMAS) designed to solve the Capacitated Clustering Problem (CCP). Some improvements on the original MMAS algorithm are proposed, such as the use of a density model on the information heuristic and a local search adapted from the uncapacitated p-medians problem. Also the MMAS ability to deal with large scale instances is improved by means of a new proposal for the pheromone updating rule. Some simulations are performed using instances available from the literature, for benchmarking purposes. As a practical application, given a hypothetical demand proportional to the number of inhabitants of the 186 most populated Brazilian cities, the optimal allocation for a varied number of clustering centers is properly determined by the proposed algorithm, with a superior performance when compared with the original MMAS algorithm. © 2004 IEEE.
Rights: fechado
Identifier DOI: 
Date Issue: 2004
Appears in Collections:Unicamp - Artigos e Outros Documentos

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