Biogeography-Based Optimization: A 10-Year Review

  • Haiping Ma
  • , Daniel Simon
  • , Patrick Siarry
  • , Zhile Yang
  • , Minrui Fei

Research output: Contribution to journalReview articlepeer-review

150 Scopus citations

Abstract

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 BBO 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.
Original languageEnglish
Article number8048565
Pages (from-to)391-407
Number of pages17
JournalIEEE Transactions on Emerging Topics in Computational Intelligence
Volume1
Issue number5
DOIs
StatePublished - Oct 1 2017

Keywords

  • Biogeography
  • Evolutionary computation
  • Genetic algorithms
  • Optimization
  • Sociology
  • Standards
  • Statistics

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