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Notice of Removal: Reliability Algorithm Based on Adaptive Hybrid Particle Swarm Optimization and Simulated Annealing Algorithm

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The sampling center of important sampling to predict structural or mechanical reliability is often computed by gradient-based iterative programs. However, there is often no convergence when calculating the highly nonlinear limitation equation. In this paper, a hybrid particle swarm optimization (PSO) and simulated annealing (SA) stochastic optimization algorithm is proposed and applied to the important sampling. The results of numerical examples confirm the theoretical analysis and show the characteristics of global search: fast convergence and high precision. This calculative method is effective and feasible to solve the problems in reliability.

Original languageEnglish
Title of host publicationProceedings of 2018 International Computers, Signals and Systems Conference, ICOMSSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages244-248
Number of pages5
ISBN (Electronic)9781538667514
DOIs
StatePublished - Sep 2018
Event2018 International Computers, Signals and Systems Conference, ICOMSSC 2018 - Dalian, China
Duration: 28 Sep 201830 Sep 2018

Publication series

NameProceedings of 2018 International Computers, Signals and Systems Conference, ICOMSSC 2018

Conference

Conference2018 International Computers, Signals and Systems Conference, ICOMSSC 2018
Country/TerritoryChina
CityDalian
Period28/09/1830/09/18

Keywords

  • important sampling
  • particle swarm optimization (PSO)
  • reliability
  • simulated annealing (SA)

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