{"title":"飞镖设计的元启发式算法比较研究","authors":"Ioannis Trichas, C. Drosos, A. Vlachos","doi":"10.1109/IISA.2014.6878759","DOIUrl":null,"url":null,"abstract":"The problem of optimally locating the numbers around a dartboard is a Combinatorial Optimization problem. In this paper, we're solving this problem using Ant System and Max-Min Ant System (MMAS) algorithm. The algorithm reinforces local search in neighborhood of the best solution found in each iteration while implementing methods to slow convergence and facilitate exploration. Both algorithms have been proved to be very effective in finding optimum solution to hard combinatorial optimization problems.","PeriodicalId":298835,"journal":{"name":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comparative study of metaheuristic algorithms for dartboard design\",\"authors\":\"Ioannis Trichas, C. Drosos, A. Vlachos\",\"doi\":\"10.1109/IISA.2014.6878759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of optimally locating the numbers around a dartboard is a Combinatorial Optimization problem. In this paper, we're solving this problem using Ant System and Max-Min Ant System (MMAS) algorithm. The algorithm reinforces local search in neighborhood of the best solution found in each iteration while implementing methods to slow convergence and facilitate exploration. Both algorithms have been proved to be very effective in finding optimum solution to hard combinatorial optimization problems.\",\"PeriodicalId\":298835,\"journal\":{\"name\":\"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IISA.2014.6878759\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISA.2014.6878759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative study of metaheuristic algorithms for dartboard design
The problem of optimally locating the numbers around a dartboard is a Combinatorial Optimization problem. In this paper, we're solving this problem using Ant System and Max-Min Ant System (MMAS) algorithm. The algorithm reinforces local search in neighborhood of the best solution found in each iteration while implementing methods to slow convergence and facilitate exploration. Both algorithms have been proved to be very effective in finding optimum solution to hard combinatorial optimization problems.