Abstract
The Particle Swarm Optimization (PSO) method is one of the most powerful methods available for solving both unconstrained and constrained global optimization problems. However, knowledge about how the PSO method works or finds a globally optimal solution of a global optimization problem is as yet limited. This paper deals with a physical interpretation of the PSO method in order to obtain strategies about how to tune its parameters. The results of this study will contribute to a reduction of labor for tuning the parameters of PSO.
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