Resumo

ESPITIA CUCHANGO, Helbert Eduardo  e  SOFRONY ESMERAL, Jorge Iván. Vortex Particle Swarm Optimization with Individual and Group Search. Tecnura [online]. 2014, vol.18, n.42, pp.24-37. ISSN 0123-921X.

In this document, it will be introduced the proposal for optimization algorithm based on particle swarms vorticity features, where a search group is considered through the association to the midpoint of the swarm and an individual search is given for the best position of each individual. The search group seeks to achieve the convergence of the whole swarm, whereas the individual search allows better exploration in pursuant of space. The algorithm has convergence and exploration behavior given by the selected model which is based on the behavior of a swarm of individuals. For establishing the algorithm performance, a set of test functions in two dimensions is used.

Palavras-chave : algorithm; animal behaviour; optimization.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )