文献类型：期刊文献

英文题名：Biogeography-Based Optimization: A 10-Year Review

作者：Ma, Haiping[1];Simon, Dan[2];Siarry, Patrick[3];Yang, Zhile[4];Fei, Minrui[5]

机构：[1]Shaoxing Univ, Dept Elect Engn, Shaoxing 312000, Peoples R China;[2]Cleveland State Univ, Dept Elect Engn & Comp Sci, Cleveland, OH 44115 USA;[3]Univ Val de Marne Paris XII, F-94010 Creteil, France;[4]Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT7 1NN, Antrim, North Ireland;[5]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China

年份：2017

卷号：1

期号：5

起止页码：391

外文期刊名：IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE

收录：SCI-EXPANDED(收录号：WOS:000679684600007)、、EI(收录号：20174004237368)、Scopus(收录号：2-s2.0-85038926338)、WOS

基金：This work was supported in part by the National Natural Science Foundation of China under Grants 61640316 and 61633016, in part by the U.S. National Science Foundation under Grant 1344954, and in part by the Fund for China Scholarship Council under Grant 201608330109.

语种：英文

外文关键词：Biogeography-based optimization; evolutionary algorithm; hybridization; nature-inspired algorithm; optimization

外文摘要：Biogeography-based optimization (BBO) is an evolutionary algorithm which is inspired by the migration of species between habitats. Almost 10 years have passed since the first BBO paper was published in 2008. BBO has successfully solved optimization problems in many different domains and has reached a relatively mature state. Considering the significant and expanding research on RHO and its applications, we find that the time is right to provide a 10-year anniversary review of the published literature, and also to point out some important avenues of future research. The purpose of this paper is to summarize and organize the literature related to the past 10 years of BBO research. Beginning with a foundation of basic BBO, we review the family of BBO algorithms and discuss BBO modifications, hybridizations, applications in science and engineering, and mathematical theory. Finally, the paper presents some interesting open problems and future research directions for BBO.