Asynchronous Stochastic Particle Swarm Optimization
Jianchao Zeng · Journal of Taiyuan University of Science and Technology · 2009
Based on the biological characteristics of particle swarm optimization,an asynchronous stochastic particle swarm optimization(ASPSO)is proposed.In the evolution process of particles,using asynchronous pattern,the information of global best position can be asynchronously transmitted in the population.Then theoretical analysis has been made to prove that the local convergent rate of ASPSO is faster than the synchronous pattern algorithm SPSO.Moreover,the simulation tests of four classic functions have been done,and the test results show that:the ASPSO owns a faster convergence rate compared with the SPSO.