Particle swarm optimization algorithm with asymmetric time varying acceleration coefficients
Guangbin Bao, Kai Mao · 2009
To update the performance of the standard optimization method, a modified particle swarm optimization (MPSO) algorithm is proposed based on the earlier works. An asymmetric time-varying acceleration coefficients adjusting strategy introduced in this paper is to keep the balance between the global search and the local search with the great advantages of convergence property and robustness compared with basic PSO algorithm. The relationship between swarm average velocity and convergence is studied through benchmark test functions simulation. All the merits mentioned above are demonstrated by the compound gear transmission ratio optimization in transmission systems.