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Hybrid Biogeography-Based Optimization for Integer Programming
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Biogeography-based optimization (BBO) is a relatively new bioinspired heuristic for global optimization based on the mathematical models of biogeography.
By investigating the applicability and performance of BBO for integer programming, we find that the original BBO algorithm does not perform well on a set of benchmark integer programming problems.
Thus we modify the mutation operator and/or the neighborhood structure of the algorithm, resulting in three new BBO-based methods, named BlendBBO, BBO_DE, and LBBO_LDE, respectively.
Computational experiments show that these methods are competitive approaches to solve integer programming problems, and the LBBO_LDE shows the best performance on the benchmark problems.
American Psychological Association (APA)
Wang, Zhi-Cheng& Wu, Xiao-Bei. 2014. Hybrid Biogeography-Based Optimization for Integer Programming. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050560
Modern Language Association (MLA)
Wang, Zhi-Cheng& Wu, Xiao-Bei. Hybrid Biogeography-Based Optimization for Integer Programming. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1050560
American Medical Association (AMA)
Wang, Zhi-Cheng& Wu, Xiao-Bei. Hybrid Biogeography-Based Optimization for Integer Programming. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050560
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050560