文献类型：期刊文献

英文题名：An analysis of the equilibrium of migration models for biogeography-based optimization

作者：Ma, Haiping[1]

机构：[1]Shaoxing Univ, Dept Elect Engn, Shaoxing 312000, Zhejiang, Peoples R China

年份：2010

卷号：180

期号：18

起止页码：3444

外文期刊名：INFORMATION SCIENCES

收录：SCI-EXPANDED(收录号：WOS:000280380500005)、、EI(收录号：20104313324517)、Scopus(收录号：2-s2.0-77958150944)、WOS

基金：This work was partially supported by the Zhejiang Provincial Natural Science Foundation of China under Grant No. Y1090866. In addition, the ideas of BBO inventor Dan Simon of Cleveland State University were instrumental in the development of this research.

语种：英文

外文关键词：Biogeography-based optimization; Evolutionary algorithms; Migration model; Equilibrium analysis

外文摘要：Motivated by the migration mechanisms of ecosystems, various extensions to biogeography-based optimization (BBO) are proposed here. As a global optimization method. BBO is an original algorithm based on the mathematical model of organism distribution in biological systems. BBO is an evolutionary process that achieves information sharing by biogeography-based migration operators. In BBO, habitats represent candidate problem solutions, and species migration represents the sharing of features between candidate solutions according to the fitness of the habitats. This paper generalizes equilibrium species count results in biogeography theory, explores the behavior of six different migration models in BBO, and investigates performance through 23 benchmark functions with a wide range of dimensions and diverse complexities. The performance study shows that sinusoidal migration curves provide the best performance among the six different models that we explored. In addition, comparison with other biology-based optimization algorithms is investigated, and the influence of the population size, problem dimension, mutation rate, and maximum migration rate of BBO are also studied. (C) 2010 Elsevier Inc. All rights reserved.