{"title":"基于约束的局部搜索的顺序和并行重启策略","authors":"Y. Caniou, P. Codognet","doi":"10.1109/IPDPSW.2013.211","DOIUrl":null,"url":null,"abstract":"We study in this paper the influence of the restart policy on the sequential and parallel performance of combinatorial search problems. Our evaluation relies on several experiments using a constraint-based local search method, named Adaptive Search, and a few combinatorial problems such as Magic Square and Costas Array Problems.","PeriodicalId":234552,"journal":{"name":"2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Sequential and Parallel Restart Policies for Constraint-Based Local Search\",\"authors\":\"Y. Caniou, P. Codognet\",\"doi\":\"10.1109/IPDPSW.2013.211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study in this paper the influence of the restart policy on the sequential and parallel performance of combinatorial search problems. Our evaluation relies on several experiments using a constraint-based local search method, named Adaptive Search, and a few combinatorial problems such as Magic Square and Costas Array Problems.\",\"PeriodicalId\":234552,\"journal\":{\"name\":\"2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPSW.2013.211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW.2013.211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sequential and Parallel Restart Policies for Constraint-Based Local Search
We study in this paper the influence of the restart policy on the sequential and parallel performance of combinatorial search problems. Our evaluation relies on several experiments using a constraint-based local search method, named Adaptive Search, and a few combinatorial problems such as Magic Square and Costas Array Problems.