International Journal of Computational Intelligence Systems

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Volume 9, Issue 3, June 2016, Pages 544 - 558

Migration Ratio Model Analysis of Biogeography-Based Optimization Algorithm and Performance Comparison

Authors
Jie-sheng Wang1, wang_jiesheng@126.com, Jiang-di Song2, sjd2011@163.com
1National Financial Security and System Equipment Engineering Research Center, University of Science & Technology Liaoning, Anshan, Liaoning province 114044, China
2School of Electronic and Information Engineering, University of Science & Technology Liaoning, Anshan, Liaoning province 114044, China
Received 11 May 2015, Accepted 2 March 2016, Available Online 1 June 2016.
DOI
10.1080/18756891.2016.1175817How to use a DOI?
Keywords
Biogeography-based optimization algorithm; migration ratio model; function optimization; performance comparison
Abstract

Biogeography-based optimization (BBO) algorithm is based on species migration between habitats to complete information circulation and sharing, which achieves the global optimization by improving the adaptability of habitats. In this paper, the basic migration balance model of biogeography theory is elaborated. Based on the population adaptive migration mechanism of BBO algorithm, the algorithm procedure is set up. Seven linear or nonlinear migration ratio models (including three new migration ratio models) are described. Simulation experiments are carried out on eight testing functions to verify the proposed migration ratio models. Simulation results show that different migration ratio model has different influence on the optimization performance of BBO algorithm, in which the sine migration ratio model has the best optimization performance. This also represents that the nonlinear migration ratio model close to the natural laws outperforms other simple linear migration ratio models.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 3
Pages
544 - 558
Publication Date
2016/06/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1175817How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Jie-sheng Wang
AU  - Jiang-di Song
PY  - 2016
DA  - 2016/06/01
TI  - Migration Ratio Model Analysis of Biogeography-Based Optimization Algorithm and Performance Comparison
JO  - International Journal of Computational Intelligence Systems
SP  - 544
EP  - 558
VL  - 9
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1175817
DO  - 10.1080/18756891.2016.1175817
ID  - Wang2016
ER  -