Probabilistic knowledge discovery algorithm in network reliability optimization

José E. Ramirez-Marquez, Claudio M. Rocco S.

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

    5 Scopus citations

    Abstract

    This paper presents a new algorithm that can be readily applied to solve general all-terminal network reliability allocation problems. The optimization problem solved considers the minimization of the network design cost subject to a known network reliability requirement. The algorithm is based on two major steps that use a probabilistic discovery approach and Monte Carlo simulation to generate solutions to these problems. Examples for different network behavior are used throughout the paper to illustrate the approach. The results obtained for these test cases are compared with other proposed methods to show how the algorithm can generate very good solutions in a significantly small solution search space.

    Original languageEnglish
    Title of host publicationProceedings of the European Safety and Reliability Conference 2007, ESREL 2007 - Risk, Reliability and Societal Safety
    Pages141-146
    Number of pages6
    StatePublished - 2007
    EventEuropean Safety and Reliability Conference 2007, ESREL 2007 - Risk, Reliability and Societal Safety - Stavanger, Norway
    Duration: 25 Jun 200727 Jun 2007

    Publication series

    NameProceedings of the European Safety and Reliability Conference 2007, ESREL 2007 - Risk, Reliability and Societal Safety
    Volume1

    Conference

    ConferenceEuropean Safety and Reliability Conference 2007, ESREL 2007 - Risk, Reliability and Societal Safety
    Country/TerritoryNorway
    CityStavanger
    Period25/06/0727/06/07

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