On the basis of comprehensive comparison between two different particle swarm optimization(PSO) algorithms applied to optimization model of shaft power for circulating water system

a PSO algorithm with stochastic inetia weight has been put forward for seeking solution of problem to optimize the shaft power

obtaining the optimal decision vector.The said method can effectively seek the optimal combination of circulating water pumps in the circulating water system and the best speed-regulating ratio

making the water pump to work in high effective region

enhancing efficiency in operation of the system.Compared with the genetic algorithm

the PSO algorithm is simple in realization

boasting quick converging speed

as well as more better whole convergence behavior and more smaller systematic error.