{"title":"一种求解多节点对多状态流网络中所有下界点的简单改进算法","authors":"M. Forghani-elahabad, N. Kagan","doi":"10.25728/ASSA.2019.19.1.656","DOIUrl":null,"url":null,"abstract":"There are several real-world systems which can be modeled as multistate flow networks (MFNs). Many researchers have worked on reliability evaluation of an MFN, and accordingly variety of approaches have been proposed in this regard. The problem of finding all the lower boundary points (LBPs) in a multistate flow network (MFN) has been attracting significant attention in the recent decades as these vectors can be used for reliability evaluation of MFNs. Once all the LBPs are determined, the reliability of the network can be calculated by using some techniques such as the inclusion–exclusion principle or the sum of disjoint products (SDP). Several algorithms have been proposed to address this problem in the literature in terms of minimal paths or minimal cuts. As in the real systems the data (flow or commodity) are usually transmitting from several sources to a number of destinations, the problem of determining all the LBPs in a multi-node-pair MFN is considered in this work. An improved algorithm is proposed to address the problem. The algorithm is illustrated through a benchmark network example. The complexity results are computed. The efficiency of the algorithm is demonstrated through a numerical example and the complexity results.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"1-11"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A simple improved algorithm to find all the lower boundary points in a multiple-node-pair multistate flow network\",\"authors\":\"M. Forghani-elahabad, N. Kagan\",\"doi\":\"10.25728/ASSA.2019.19.1.656\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are several real-world systems which can be modeled as multistate flow networks (MFNs). Many researchers have worked on reliability evaluation of an MFN, and accordingly variety of approaches have been proposed in this regard. The problem of finding all the lower boundary points (LBPs) in a multistate flow network (MFN) has been attracting significant attention in the recent decades as these vectors can be used for reliability evaluation of MFNs. Once all the LBPs are determined, the reliability of the network can be calculated by using some techniques such as the inclusion–exclusion principle or the sum of disjoint products (SDP). Several algorithms have been proposed to address this problem in the literature in terms of minimal paths or minimal cuts. As in the real systems the data (flow or commodity) are usually transmitting from several sources to a number of destinations, the problem of determining all the LBPs in a multi-node-pair MFN is considered in this work. An improved algorithm is proposed to address the problem. The algorithm is illustrated through a benchmark network example. The complexity results are computed. The efficiency of the algorithm is demonstrated through a numerical example and the complexity results.\",\"PeriodicalId\":39095,\"journal\":{\"name\":\"Advances in Systems Science and Applications\",\"volume\":\"19 1\",\"pages\":\"1-11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Systems Science and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25728/ASSA.2019.19.1.656\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Systems Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25728/ASSA.2019.19.1.656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
A simple improved algorithm to find all the lower boundary points in a multiple-node-pair multistate flow network
There are several real-world systems which can be modeled as multistate flow networks (MFNs). Many researchers have worked on reliability evaluation of an MFN, and accordingly variety of approaches have been proposed in this regard. The problem of finding all the lower boundary points (LBPs) in a multistate flow network (MFN) has been attracting significant attention in the recent decades as these vectors can be used for reliability evaluation of MFNs. Once all the LBPs are determined, the reliability of the network can be calculated by using some techniques such as the inclusion–exclusion principle or the sum of disjoint products (SDP). Several algorithms have been proposed to address this problem in the literature in terms of minimal paths or minimal cuts. As in the real systems the data (flow or commodity) are usually transmitting from several sources to a number of destinations, the problem of determining all the LBPs in a multi-node-pair MFN is considered in this work. An improved algorithm is proposed to address the problem. The algorithm is illustrated through a benchmark network example. The complexity results are computed. The efficiency of the algorithm is demonstrated through a numerical example and the complexity results.
期刊介绍:
Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.