Chaos Particle Swarm Optimization Algorithm for Estimating Solute Transport Parameters of Streams from Tracer Experiment Data

摘要

In this paper, we combined chaotic search into standard particle swarm search into one and proposed a new algorithm named as chaos particle swarm optimization algorithm(CPSO). The CPSO algorithm may speed the search process, and improve the ability of seeking the global optimal solution and convergence. And the CPSO algorithm was applied to analysis of one-dimensional tracing test date of river stream with tracer injected instantaneously, and further to optimization of function for estimating the water quality parameters of river stream. The results show that the proposed algorithm is superior to the standard particle swarm optimization one in the speed of search and convergence.