Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Termitant: An Ant Clustering Algorithm Improved By Ideas From Termite Colonies
Author: Sherafat V.
De Castro L.N.
Hruschka E.R.
Abstract: This paper proposes a heuristic to improve the convergence speed of the standard ant clustering algorithm. The heuristic is based on the behavior of termites that, when building their nests, add some pheromone to the objects they carry. In this context, pheromone allows artificial ants to get more information, at the local level, about the work in progress at the global level. A sensitivity analysis of the algorithm is performed in relation to the proposed modification on a benchmark problem, leading to interesting results. © Springer-Verlag Berlin Heidelberg 2004.
Rights: fechado
Identifier DOI: 
Date Issue: 2004
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.