{"title":"一种新的细菌合作觅食算法","authors":"Y. Shao, Hanning Chen","doi":"10.1109/BICTA.2009.5338157","DOIUrl":null,"url":null,"abstract":"A variant on the original bacterial foraging optimization (BFO) algorithm, called the cooperative bacterial foraging optimization (CBFO), is proposed in this paper. The results of various experimental studies using a suit of 4 widely used test functions have demonstrated the superiority of the proposed CBFO approach over the other three search techniques.","PeriodicalId":161787,"journal":{"name":"2009 Fourth International on Conference on Bio-Inspired Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A novel cooperative bacterial foraging algorithm\",\"authors\":\"Y. Shao, Hanning Chen\",\"doi\":\"10.1109/BICTA.2009.5338157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A variant on the original bacterial foraging optimization (BFO) algorithm, called the cooperative bacterial foraging optimization (CBFO), is proposed in this paper. The results of various experimental studies using a suit of 4 widely used test functions have demonstrated the superiority of the proposed CBFO approach over the other three search techniques.\",\"PeriodicalId\":161787,\"journal\":{\"name\":\"2009 Fourth International on Conference on Bio-Inspired Computing\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fourth International on Conference on Bio-Inspired Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BICTA.2009.5338157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International on Conference on Bio-Inspired Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BICTA.2009.5338157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A variant on the original bacterial foraging optimization (BFO) algorithm, called the cooperative bacterial foraging optimization (CBFO), is proposed in this paper. The results of various experimental studies using a suit of 4 widely used test functions have demonstrated the superiority of the proposed CBFO approach over the other three search techniques.
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