Particle Swarm Optimizer Arranged in Two-Dimensional Array
Haruna Matsushita, Yoshifumi Nishio · 2009
This study proposes a Particle Swarm Optimization with Map Structure (PSOMS). All particles of PSOMS are connected to adjacent particles by neighborhood relation, which dictates the topology, of the 2-dimensional map. Each particle is up-dated depending on the neighborhood distance between it and a winner, whose function value is best among all particles. Simulation results show the searching efficiency of PSOMS. 1.