Xiaoguang Chen, J. Tao, Guanghan Bai, Yun’an Zhang
{"title":"Search for d-MPs without duplications in multistate two-terminal networks","authors":"Xiaoguang Chen, J. Tao, Guanghan Bai, Yun’an Zhang","doi":"10.1109/ICRSE.2017.8030755","DOIUrl":null,"url":null,"abstract":"A general method for the reliability evaluation of multistate networks is using minimal path vectors (d-MPs for short). Most reported works on generating d-MPs are based on minimal paths (MPs for short). Currently, all reported MP-based algorithms generate duplicated d-MPs during the search process and additional recursive comparison is required to remove those duplications. However, the number of duplications increases substantially with the size of network. Thus, a more efficient algorithm is needed to search for all d-MPs without duplications. In this study, we proposed an improved algorithm based on the breadth-first search to search for d-MPs without duplications. The mechanism on generating duplicated d-MPs is investigated. A novel approach is incorporated into the existing algorithm to generate the d-MPs without duplications. Through computational experiments, it is found that the proposed algorithm is more efficient than existing algorithms for finding all d-MPs.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRSE.2017.8030755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
A general method for the reliability evaluation of multistate networks is using minimal path vectors (d-MPs for short). Most reported works on generating d-MPs are based on minimal paths (MPs for short). Currently, all reported MP-based algorithms generate duplicated d-MPs during the search process and additional recursive comparison is required to remove those duplications. However, the number of duplications increases substantially with the size of network. Thus, a more efficient algorithm is needed to search for all d-MPs without duplications. In this study, we proposed an improved algorithm based on the breadth-first search to search for d-MPs without duplications. The mechanism on generating duplicated d-MPs is investigated. A novel approach is incorporated into the existing algorithm to generate the d-MPs without duplications. Through computational experiments, it is found that the proposed algorithm is more efficient than existing algorithms for finding all d-MPs.