Abstract
This paper presents the Vortex Particle Swarm Optimization (VPSO) algorithm and some considerations for the appropriate selection of parameters. The optimization algorithm is composed of two modes: translational and circular movements. Convergence of the swarm to a given optimal point is performed by linear movements, while the exploration stage is characterized by circular movements (i.e. a vortex-like behavior). These emerging behaviors are observed in different living organisms in nature and are a product of swarm (social) interactions. Particularly in the proposed algorithm, the vortex-like behavior allows escaping from local minima. Parameter selection is proposed based on an approximate analysis of the swarm behavior, and the algorithm performance is studied via simulation results of well-known test functions.
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