Title: The forecasting residual life of underground pipeline based on particle swarm optimisation algorithm

Authors: Qin Ming Liu, Wenyuan Lv

Addresses: College of Management, University of Shanghai for Science and Technology, Shanghai 200093, China. ' College of Management, University of Shanghai for Science and Technology, Shanghai 200093, China

Abstract: Grey theory explores the use of the PSO algorithm and this paper analysed the feasibility of using this algorithm to forecast the residual life of underground pipeline. It is allowed to offer fewer data while using this method to forecast its residual life. Example shows that the method of the PSO algorithm based on grey theory optimisation is superior to the existing forecasting methods such as the grey forecasting method and grey theory based on the GA optimisation method.

Keywords: underground pipelines; residual life; grey theory; particle swarm optimisation; PSO algorithm; optimisation; forecasting; pipeline lifetime.

DOI: 10.1504/IJBIC.2009.024725

International Journal of Bio-Inspired Computation, 2009 Vol.1 No.4, pp.270 - 275

Published online: 28 Apr 2009 *

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