A real-coded biogeography-based optimization with mutation

Biogeography-based optimization (BBO) is a new biogeography inspired algorithm for global optimization. There are some open research questions that need to be addressed for BBO. In this paper, we extend the original BBO and present a real-coded BBO approach, referred to as RCBBO, for the global opti...

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Vydané v:	Applied mathematics and computation Ročník 216; číslo 9; s. 2749 - 2758
Hlavní autori:	Gong, Wenyin, Cai, Zhihua, Ling, Charles X., Li, Hui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier Inc 01.07.2010 Elsevier
Predmet:	Algorithms Benchmarking Biogeography-based optimization Calculus of variations and optimal control Evolutionary programming Exact sciences and technology Exploration Exploration ability Global optimization Mathematical analysis Mathematical models Mathematics Mutation Mutations Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Operators Optimization Sciences and techniques of general use Global optimization Mutation Evolutionary programming Biogeography-based optimization Exploration ability Experimental result Numerical analysis Applied mathematics Optimization method Variational calculus Algorithm Mathematical programming
ISSN:	0096-3003, 1873-5649
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Abstract	Biogeography-based optimization (BBO) is a new biogeography inspired algorithm for global optimization. There are some open research questions that need to be addressed for BBO. In this paper, we extend the original BBO and present a real-coded BBO approach, referred to as RCBBO, for the global optimization problems in the continuous domain. Furthermore, in order to improve the diversity of the population and enhance the exploration ability of RCBBO, the mutation operator is integrated into RCBBO. Experiments have been conducted on 23 benchmark problems of a wide range of dimensions and diverse complexities. The results indicate the good performance of the proposed RCBBO method. Moreover, experimental results also show that the mutation operator can improve the performance of RCBBO effectively.
AbstractList	Biogeography-based optimization (BBO) is a new biogeography inspired algorithm for global optimization. There are some open research questions that need to be addressed for BBO. In this paper, we extend the original BBO and present a real-coded BBO approach, referred to as RCBBO, for the global optimization problems in the continuous domain. Furthermore, in order to improve the diversity of the population and enhance the exploration ability of RCBBO, the mutation operator is integrated into RCBBO. Experiments have been conducted on 23 benchmark problems of a wide range of dimensions and diverse complexities. The results indicate the good performance of the proposed RCBBO method. Moreover, experimental results also show that the mutation operator can improve the performance of RCBBO effectively.
Author	Ling, Charles X. Li, Hui Cai, Zhihua Gong, Wenyin
Author_xml	– sequence: 1 givenname: Wenyin surname: Gong fullname: Gong, Wenyin email: cug11100304@yahoo.com.cn organization: School of Computer Science, China University of Geosciences, Wuhan 430074, PR China – sequence: 2 givenname: Zhihua surname: Cai fullname: Cai, Zhihua email: zhcai@cug.edu.cn organization: School of Computer Science, China University of Geosciences, Wuhan 430074, PR China – sequence: 3 givenname: Charles X. surname: Ling fullname: Ling, Charles X. email: cling@csd.uwo.ca organization: Department of Computer Science, The University of Western Ontario, London, Ontario, Canada N6A 5B7 – sequence: 4 givenname: Hui surname: Li fullname: Li, Hui email: huili@vip.sina.com organization: School of Computer Science, China University of Geosciences, Wuhan 430074, PR China
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SubjectTerms	Algorithms Benchmarking Biogeography-based optimization Calculus of variations and optimal control Evolutionary programming Exact sciences and technology Exploration Exploration ability Global optimization Mathematical analysis Mathematical models Mathematics Mutation Mutations Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Operators Optimization Sciences and techniques of general use
Title	A real-coded biogeography-based optimization with mutation
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