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

  • Qin Ming Liu*
  • , Wenyuan Lv
  • *Corresponding author for this work
  • University of Shanghai for Science and Technology

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)270-275
Number of pages6
JournalInternational Journal of Bio-Inspired Computation
Volume1
Issue number4
DOIs
StatePublished - 2009
Externally publishedYes

Keywords

  • Grey theory
  • PSO algorithm
  • Particle swarm optimisation algorithm
  • Residual life
  • Underground pipeline

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