Improved particle swarm optimization based on Brownian motion
基于布朗运动的改进粒子群优化算法*

In order to improve the convergence rate of particle swarm optimization(PSO),with the inspiration of the Brownian motion and ITO process,this paper proposed a kind of hybrid algorithm,i.e.BMPSO,which mixed Brownian motion and PSO algorithm.It designed the drift operator and fluctuation operator by Abstracting Brownian motion and ITO process.The drift operator retained the position property of particle,but there was no speed attribute for particle of BMPSO,and also introduced the attractor concept.And then,t...