4.5 Article

Biogeography-Based Optimization: A 10-Year Review

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TETCI.2017.2739124

Keywords

Biogeography-based optimization; evolutionary algorithm; hybridization; nature-inspired algorithm; optimization

Funding

  1. National Natural Science Foundation of China [61640316, 61633016]
  2. U.S. National Science Foundation [1344954]
  3. Fund for China Scholarship Council [201608330109]

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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.

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