A biogeography-based optimization algorithm with multiple migrations

Weichao Chai, Hongbin Dong, Jun He, Wenqian Shang

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

2 Citations (Scopus)
175 Downloads (Pure)

Abstract

Biogeography-based optimization (BBO) is a recently-developed algorithm that uses migration to share information among candidate solutions. We use differential evolution algorithm's mutation operator to improve the individual migration operator, and take an adaptive method in setting the value of the scaling factor. The new individual migration is combined with two traditional gene migrations, thus we get a new multiple migrations operator. The biogeography-based optimization with multiple migrations (HLBBO) is proposed based on this new operator. Experiments have been conducted on 25 benchmarks from the 2005 Congress on Evolutionary Computation. Compared with BBO algorithm and linearized BBO, the results show that the proposed algorithm HLBBO can improve the convergence speed and solution accuracy. And the boxplot of the best fitness value show the algorithm' s stability.

Original languageEnglish
Title of host publication2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings
EditorsKuniaki Uehara, Masahide Nakamura
PublisherIEEE Press
ISBN (Electronic)9781509008063
DOIs
Publication statusPublished - 23 Aug 2016
EventComputer and Information Science - Okayama, Japan
Duration: 26 Jun 201629 Jun 2016
Conference number: 15

Publication series

Name2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings

Conference

ConferenceComputer and Information Science
Abbreviated titleICIS-2016
Country/TerritoryJapan
CityOkayama
Period26 Jun 201629 Jun 2016

Keywords

  • biogeography-based optimization
  • gene migration
  • Individual migration
  • multiple migrations

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