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When a local optimal solution is reached with classical Particle Swarm Optimization (PSO), all particles in the swarm gather around it, and escaping from this local optima becomes difficult. To avoid premature convergence of PSO, we present in this paper a novel variant of PSO algorithm, called MPSOM, that uses Metropolis equation to update local best solutions (lbest) of each particle and uses mutation...
Particle swarm optimization algorithm (PSO, in short) is a heuristic global optimization algorithm based on swarm intelligence. Each particle of the swarm represents one candidate solution of the optimization problem. PSO searches the optimal region of optimization space through the interaction of particles. In this article, the PSO which has slow convergence rate and is easily trapped in local optimum...
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