|Table of Contents|

Application of Chaos Particle Swarm Optimization Algorithm to Determination of Water Quality Parameter of River Steam(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2009年第02期
Page:
169-172
Research Field:
水资源与地质工程
Publishing date:

Info

Title:
Application of Chaos Particle Swarm Optimization Algorithm to Determination of Water Quality Parameter of River Steam
Author(s):
MENG Ling-qun;  GUO Jian-qing
(School of Environmental Sciences and Engineering, Chang'an University, Xi'an 710054, Shaanxi, China)
Keywords:
water quality of river stream;  parameter determination;  chaotic search;  particle swarm optimization
PACS:
X824;TP301.6
DOI:
-
Abstract:
This paper incorporates chaotic search into original particle swarm optimizers, and presents a new chaos particle swarm optimization algorithm. Based on the ergodicity, stochastic property and regularity of chaos, individuals are reproducted by chaotic searching on the current individuals. The particle swarm optimization embedded chaotic search quickens the evolution process, and improve the abilities of seeking the global excellent result and convergence speed and accuracy. And the chaos particle swarm optimization algorithms were applied to analysis of 1D tracing test date of river streams with tracters instantaneously injected, and further to optimization of functions to estimate the water quality parameters of river streams. The results show that the proposed algorithms are superior to original particle swarm optimization algorithms.

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Last Update: 2009-06-20