A Simple Diversity Guided Particle Swarm Optimization

Abstract

In this paper we have proposed a new diversity guided particle swarm optimizer (PSO), namely ATRE-PSO, which is a modification of attractive and repulsive PSO (ARPSO), suggested by Riget and Vesterstorm [1]. Depending on the diversity of the population the ATRE-PSO switches alternately between three phases of attraction, repulsion and a combination of attraction and repulsion, called the phase of positive conflict [2]. The performance of ATRE-PSO is compared with basic PSO (BPSO) and ARPSO. The numerical results show that besides preserving the rapid convergence of the BPSO, ATRE-PSO also maintains a good diversity in the population. Under most of the test cases, simulations show that ATRE-PSO finds a better solution than BPSO as well as ARPSO.