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Modified Biogeography-Based Optimization with Local Search Mechanism
Joint Authors
Feng, Quanxi
Wu, Qunying
Liu, Sanyang
Chen, Huazhou
Tang, GuoQiang
Zhang, Haomin
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-22
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
Biogeography-based optimization (BBO) is a new effective population optimization algorithm based on the biogeography theory with inherently insufficient exploration capability.
To address this limitation, we proposed a modified BBO with local search mechanism (denoted as MLBBO).
In MLBBO, a modified migration operator is integrated into BBO, which can adopt more information from other habitats, to enhance the exploration ability.
Then, a local search mechanism is used in BBO to supplement with modified migration operator.
Extensive experimental tests are conducted on 27 benchmark functions to show the effectiveness of the proposed algorithm.
The simulation results have been compared with original BBO, DE, improved BBO algorithms, and other evolutionary algorithms.
Finally, the performance of the modified migration operator and local search mechanism are also discussed.
American Psychological Association (APA)
Feng, Quanxi& Liu, Sanyang& Wu, Qunying& Tang, GuoQiang& Zhang, Haomin& Chen, Huazhou. 2013. Modified Biogeography-Based Optimization with Local Search Mechanism. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-24.
https://search.emarefa.net/detail/BIM-511603
Modern Language Association (MLA)
Feng, Quanxi…[et al.]. Modified Biogeography-Based Optimization with Local Search Mechanism. Journal of Applied Mathematics No. 2013 (2013), pp.1-24.
https://search.emarefa.net/detail/BIM-511603
American Medical Association (AMA)
Feng, Quanxi& Liu, Sanyang& Wu, Qunying& Tang, GuoQiang& Zhang, Haomin& Chen, Huazhou. Modified Biogeography-Based Optimization with Local Search Mechanism. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-24.
https://search.emarefa.net/detail/BIM-511603
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511603