{"title":"Survey of Biogeography Based Optimization","authors":"Zhang Qing-ling","doi":"10.1109/SCEECS.2018.8546905","DOIUrl":null,"url":null,"abstract":"Biogeography based optimization is an evolutionary algorithm which is inspired by the migration of species between habitats. BBO is an optimizing method produced by Dan Simon in 2008. BBO has successfully solved optimization problems in many different domains and has reached a relatively mature state. This survey paper is to abbreviate and classify, the literature correlated to the previous years of this optimizing researches. Beginning with a justification of basics BBO, we study the family of Biogeography-based optimization algorithms and talk over with another BBO modifications, hybridizations, applications in science and engineering, and computative theory. Finally, the paper introduces many interesting open issues and future researches directions for BBO.","PeriodicalId":446667,"journal":{"name":"2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCEECS.2018.8546905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Biogeography based optimization is an evolutionary algorithm which is inspired by the migration of species between habitats. BBO is an optimizing method produced by Dan Simon in 2008. BBO has successfully solved optimization problems in many different domains and has reached a relatively mature state. This survey paper is to abbreviate and classify, the literature correlated to the previous years of this optimizing researches. Beginning with a justification of basics BBO, we study the family of Biogeography-based optimization algorithms and talk over with another BBO modifications, hybridizations, applications in science and engineering, and computative theory. Finally, the paper introduces many interesting open issues and future researches directions for BBO.