Transdução e realidade híbrida em Avatar: uma experiência media assemblage

Pós-graduação em Comunicação - FAAC

A prática como componente curricular em projetos pedagógicos de cursos de licenciatura em matemática

Pós-graduação em Educação Matemática - IGCE

Contribuições ao estudo da ambiguidade da linguagem: uma proposta linguístico-educacional

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem

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.