{"title":"基于动态变量排序的分布式csp并发搜索","authors":"Chun-Hui Liu, Jigui Sun, Man Gao","doi":"10.1109/NPC.2007.146","DOIUrl":null,"url":null,"abstract":"Concurrent search is an efficient technique for solving distributed constraint satisfaction problems (DisCSPs). dynamic variable ordering (DVO) impacts performance of search greatly. In this paper, we present a distributed dynamic variable ordering based concurrent search algorithm, in which domain sizes of variables are calculated approximately during search. Experiments on randomly generated DisCSPs demonstrate that the proposed algorithm improves concurrent search drastically.","PeriodicalId":278518,"journal":{"name":"2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007)","volume":"344 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Variable Ordering Based Concurrent Search for Distributed CSPs\",\"authors\":\"Chun-Hui Liu, Jigui Sun, Man Gao\",\"doi\":\"10.1109/NPC.2007.146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Concurrent search is an efficient technique for solving distributed constraint satisfaction problems (DisCSPs). dynamic variable ordering (DVO) impacts performance of search greatly. In this paper, we present a distributed dynamic variable ordering based concurrent search algorithm, in which domain sizes of variables are calculated approximately during search. Experiments on randomly generated DisCSPs demonstrate that the proposed algorithm improves concurrent search drastically.\",\"PeriodicalId\":278518,\"journal\":{\"name\":\"2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007)\",\"volume\":\"344 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NPC.2007.146\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NPC.2007.146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic Variable Ordering Based Concurrent Search for Distributed CSPs
Concurrent search is an efficient technique for solving distributed constraint satisfaction problems (DisCSPs). dynamic variable ordering (DVO) impacts performance of search greatly. In this paper, we present a distributed dynamic variable ordering based concurrent search algorithm, in which domain sizes of variables are calculated approximately during search. Experiments on randomly generated DisCSPs demonstrate that the proposed algorithm improves concurrent search drastically.