Resumo

HERNANDEZ, Yunay  e  BEAUSOLEIL, Ricardo. Clustering problems in a multiobjective framework. Rev. Mat [online]. 2016, vol.23, n.2, pp.445-461. ISSN 1409-2433.

We propose a new algorithm using tabu search to deal with biobjective clustering problems. A cluster is a collection of records that are similar to one other and dissimilar to records in other clusters. Clustering has applications in VLSI design, protein-protein interaction networks, data mining and many others areas. Clustering problems have been subject of numerous studies; however, most of the work has focused on single-objective problems. In the context of multiobjective optimization our aim is to find a good approximation to the Pareto front and provide a method to make decisions. As an application problem we present the zoning problem by allowing the optimization of two objectives.

Palavras-chave : combinatorial data analysis; clustering; tabu search; multiobjective optimization.

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