An Evolution Model For Monte Carlo Estimation Of Equilibrium Network Renewal Parameters

T. Elperin, I. Gertsbakh, M. Lomonosov

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

This paper presents Monte Carlo techniques for evaluating equilibrium availability and mean up and down periods of a renewable network for a wide class of network operational criteria. The suggested method is based on a graph evolution model that overcomes the main difficulty —hitting low-probability “border” states of the criterion. Theoretical efficiency of the method is briefly discussed and numerical results are presented.

Original languageEnglish
Pages (from-to)457-469
Number of pages13
JournalProbability in the Engineering and Informational Sciences
Volume6
Issue number4
DOIs
StatePublished - 1 Jan 1992

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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