{"title":"连续空间优化的蚁群算法","authors":"W. Lei, Wu Qidi","doi":"10.1109/CCA.2001.973897","DOIUrl":null,"url":null,"abstract":"An ant system (AS) algorithm is introduced into an optimization problem solving in a continuous field. A corresponding algorithm is defined and good simulation results are derived in examples of the global optimum value searching of a multi-minimum continuous function and a nonlinear continuous function.","PeriodicalId":365390,"journal":{"name":"Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"Ant system algorithm for optimization in continuous space\",\"authors\":\"W. Lei, Wu Qidi\",\"doi\":\"10.1109/CCA.2001.973897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An ant system (AS) algorithm is introduced into an optimization problem solving in a continuous field. A corresponding algorithm is defined and good simulation results are derived in examples of the global optimum value searching of a multi-minimum continuous function and a nonlinear continuous function.\",\"PeriodicalId\":365390,\"journal\":{\"name\":\"Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCA.2001.973897\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.2001.973897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ant system algorithm for optimization in continuous space
An ant system (AS) algorithm is introduced into an optimization problem solving in a continuous field. A corresponding algorithm is defined and good simulation results are derived in examples of the global optimum value searching of a multi-minimum continuous function and a nonlinear continuous function.