Clan Particle Swarm Optimization

Particle swarm optimization (PSO) has been used to solve many different types of optimization problems. By applying PSO to problems where the feasible solutions are too much difficult to find, new ways of solving the problems are required. Many variations on the basic PSO form have been explored, targeting the velocity update equation. Other approaches attempt to change the structure of the swarm. In this paper a Clan PSO topology is proposed for improving the PSO degree of convergence focusing on the distribution of the particles in the search space. A comparison with star, ring, and four clusters topologies was performed. Our simulation results have shown that the proposed topology achieves better degrees of convergence than the cluster-based one.