{"title":"一类max - csp的蜜蜂优化算法","authors":"Ines Methlouthi, Sadok Bouamama","doi":"10.3233/KES-150323","DOIUrl":null,"url":null,"abstract":"This paper presents new approaches for maximal constraint satisfaction problems (Max-CSPs). Inspired by the honey- bee marriage process, our approaches try to reach a solution that satisfies as many constraints as possible in a reasonable period of time. Our approaches are a centralized and distributed honey-bee optimization enhanced by a new parameter called local optimum detector. The latter allows detection of the local optimum. In this paper, newer algorithms and their experimental results are presented.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A family of honey-bee optimization algorithms for Max-CSPs\",\"authors\":\"Ines Methlouthi, Sadok Bouamama\",\"doi\":\"10.3233/KES-150323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents new approaches for maximal constraint satisfaction problems (Max-CSPs). Inspired by the honey- bee marriage process, our approaches try to reach a solution that satisfies as many constraints as possible in a reasonable period of time. Our approaches are a centralized and distributed honey-bee optimization enhanced by a new parameter called local optimum detector. The latter allows detection of the local optimum. In this paper, newer algorithms and their experimental results are presented.\",\"PeriodicalId\":210048,\"journal\":{\"name\":\"Int. J. Knowl. Based Intell. Eng. Syst.\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Knowl. Based Intell. Eng. Syst.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/KES-150323\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Knowl. Based Intell. Eng. Syst.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/KES-150323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A family of honey-bee optimization algorithms for Max-CSPs
This paper presents new approaches for maximal constraint satisfaction problems (Max-CSPs). Inspired by the honey- bee marriage process, our approaches try to reach a solution that satisfies as many constraints as possible in a reasonable period of time. Our approaches are a centralized and distributed honey-bee optimization enhanced by a new parameter called local optimum detector. The latter allows detection of the local optimum. In this paper, newer algorithms and their experimental results are presented.