一种新型生物地理学智能优化算法及其比较研究

纪洁; 顾伟; 张松勇

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Journal of ShangHai University of Electric Power :2012,28(1):47-50

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一种新型生物地理学智能优化算法及其比较研究

纪洁, 顾伟, 张松勇

(上海海事大学航运技术与控制工程交通行业重点实验室)

A New Intelligent Optimization Algorithm for Biogeography and Its Comparison

JI Jie, GU Wei, ZHANG Song-yong

(Key Lab of Marine Technology & Control Engineering Ministry Communications,Shanghai Maritime University,Shanghai 200135,China)

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Received:November 18, 2011

中文摘要: 生物地理学优化算法(BBO)包括迁徙模型和算法流程,在一些基准函数下,通过BBO算法与其他较为传统智能优化算法的性能比较,显示出BBO算法的优越性能。论述了算法中的某些参数的影响,指出了BBO算法有待解决的问题。

中文关键词: 生物地理学优化算法智能优化优化算法

Abstract:A new optimization algorithm named Biogeograbhy-Based Optomization(BBO) is proposed,including the math model migration and the progress flow.On some standard benchmarks,and by comparison of BBO with other intelligent optimization algorithm,the superiority performance of the algorithm is showed.The influences of some parameters of the algorithm are also discussed,and some future problems with BBO are pointe out.

keywords: biogeography-based optimization intelligence optimization optimization algorithm

文章编号：20120112 中图分类号： 文献标志码：

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Author Name	Affiliation	E-mail
JI Jie	Key Lab of Marine Technology & Control Engineering Ministry Communications,Shanghai Maritime University,Shanghai 200135,China	amandaji310@ 163.com
GU Wei	Key Lab of Marine Technology & Control Engineering Ministry Communications,Shanghai Maritime University,Shanghai 200135,China
ZHANG Song-yong	Key Lab of Marine Technology & Control Engineering Ministry Communications,Shanghai Maritime University,Shanghai 200135,China

Author Name	Affiliation	E-mail
JI Jie	Key Lab of Marine Technology & Control Engineering Ministry Communications,Shanghai Maritime University,Shanghai 200135,China	amandaji310@ 163.com
GU Wei	Key Lab of Marine Technology & Control Engineering Ministry Communications,Shanghai Maritime University,Shanghai 200135,China
ZHANG Song-yong	Key Lab of Marine Technology & Control Engineering Ministry Communications,Shanghai Maritime University,Shanghai 200135,China

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