{"title":"人工免疫系统在组合优化问题中的应用结果","authors":"P. Krömer, J. Platoš, V. Snás̃el","doi":"10.1109/NaBIC.2012.6402261","DOIUrl":null,"url":null,"abstract":"Artificial immune systems (AIS) represent a family of bio-inspired populational meta-heuristic algorithms successful in solving complex problems. Combinatorial optimization problems constitute a class of problems with a discrete set of solutions. In this study we provide an initial evaluation of the practical results of AIS for two well known combinatorial optimization problems - the linear ordering problem and independent task scheduling.","PeriodicalId":103091,"journal":{"name":"2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Practical results of artificial immune Systems for combinatorial optimization problems\",\"authors\":\"P. Krömer, J. Platoš, V. Snás̃el\",\"doi\":\"10.1109/NaBIC.2012.6402261\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial immune systems (AIS) represent a family of bio-inspired populational meta-heuristic algorithms successful in solving complex problems. Combinatorial optimization problems constitute a class of problems with a discrete set of solutions. In this study we provide an initial evaluation of the practical results of AIS for two well known combinatorial optimization problems - the linear ordering problem and independent task scheduling.\",\"PeriodicalId\":103091,\"journal\":{\"name\":\"2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NaBIC.2012.6402261\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NaBIC.2012.6402261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Practical results of artificial immune Systems for combinatorial optimization problems
Artificial immune systems (AIS) represent a family of bio-inspired populational meta-heuristic algorithms successful in solving complex problems. Combinatorial optimization problems constitute a class of problems with a discrete set of solutions. In this study we provide an initial evaluation of the practical results of AIS for two well known combinatorial optimization problems - the linear ordering problem and independent task scheduling.