Synchronous and Asynchronous PSO Algorithm of Parallel Circumstance

Parallel computing can curtail the time of solving large-scale problems effectively.Under introducing the biologic character of particle swarm optimization algorithm(PSO) and analyzing synchronous and asynchronous model,presented the synchronous and asynchronous algorithm of particle swarm optimization under parallel circumstance.The parallel algorithm was tested in the cluster of Lenovo Shenton 1800.The experimentations proved that PSO algorithm had higher parallelism,and the parallel arithmetic improved the efficiency obviously.