{"title":"容量和时延约束下基于ADD的网络可靠性分析","authors":"Fengying Li, Huihui Liu, Weiqiang Jiang, Rongsheng Dong","doi":"10.1109/ICACI.2019.8778617","DOIUrl":null,"url":null,"abstract":"Evaluating the reliability of weighted networks is an NP-hard problem. In this paper, a symbolic algorithm evaluating the reliability of network under capacity and delay constraints is proposed. First, the weighted network is converted to a symbolic algebraic decision diagrams (ADD) by encoding the vertices of the network, and the variable ordering are computed by breadth-first search and priority function in order to reduce the size of ADD. Then, edges in minimal paths (MPs) which does not meet the constraint formula of quickest path problem are not visited, leading to a low complexity of the network traversal. Finally, ADD constructed by two custom operators is traversed to compute the network reliability. The computational performance of the proposed algorithm is illustrated through some experimentation with different weighted networks.","PeriodicalId":213368,"journal":{"name":"2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network Reliability Analysis Based on ADD under Capacity and Delay Constraints\",\"authors\":\"Fengying Li, Huihui Liu, Weiqiang Jiang, Rongsheng Dong\",\"doi\":\"10.1109/ICACI.2019.8778617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evaluating the reliability of weighted networks is an NP-hard problem. In this paper, a symbolic algorithm evaluating the reliability of network under capacity and delay constraints is proposed. First, the weighted network is converted to a symbolic algebraic decision diagrams (ADD) by encoding the vertices of the network, and the variable ordering are computed by breadth-first search and priority function in order to reduce the size of ADD. Then, edges in minimal paths (MPs) which does not meet the constraint formula of quickest path problem are not visited, leading to a low complexity of the network traversal. Finally, ADD constructed by two custom operators is traversed to compute the network reliability. The computational performance of the proposed algorithm is illustrated through some experimentation with different weighted networks.\",\"PeriodicalId\":213368,\"journal\":{\"name\":\"2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACI.2019.8778617\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2019.8778617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Network Reliability Analysis Based on ADD under Capacity and Delay Constraints
Evaluating the reliability of weighted networks is an NP-hard problem. In this paper, a symbolic algorithm evaluating the reliability of network under capacity and delay constraints is proposed. First, the weighted network is converted to a symbolic algebraic decision diagrams (ADD) by encoding the vertices of the network, and the variable ordering are computed by breadth-first search and priority function in order to reduce the size of ADD. Then, edges in minimal paths (MPs) which does not meet the constraint formula of quickest path problem are not visited, leading to a low complexity of the network traversal. Finally, ADD constructed by two custom operators is traversed to compute the network reliability. The computational performance of the proposed algorithm is illustrated through some experimentation with different weighted networks.