计算机工程与应用2016，Vol.52Issue(17)：146-151,6.DOI:10.3778/j.issn.1002-8331.1510-0046
一种改进的生物地理学优化算法
Improved biogeography-based optimization algorithm
摘要
Abstract
The Biogeography-Based Optimization algorithm(BBO)is a new intelligent algorithm. It has received wide concern and study by the academic community within the ten years since it was proposed, and shows a broad application prospect. In order to improve the performance of the algorithm, the paper proposes an improved BBO algorithm. The improved algorithm based on the combination of the local search strategy in Differential Evolution(DE)algorithm and the migration strategy in BBO algorithm, which raises a kind of double migration operator and double mutation operator, aims to make the operators work better. These improvements make the habitats get a higher evolutionary probability in the process of evolution and the algorithm’s optimization ability get further improvement. Through the test of 6 high dimen-sion basic functions, the result shows that the improved algorithm proposed in this paper has better convergence and stability compared with other optimization algorithm referred in the optimization of high dimensional optimization problem.关键词
生物地理学优化算法/局部搜索策略/二重迁移算子/二重变异算子Key words
biogeography-based optimization algorithm/local search strategy/double migration operator/double muta-tion operator分类
信息技术与安全科学引用本文复制引用
鲁宇明,王彦超,刘嘉瑞,Wu Liu..一种改进的生物地理学优化算法[J].计算机工程与应用,2016,52(17):146-151,6.基金项目
国家自然科学基金（No.61262019）；江西省自然科学基金（No.20151BAB207065）；江西省图像处理与模式识别重点实验室开放基金（第三批）；2014国家留学基金委国外访学项目；2014年江西省普通本科高校中青年教师发展计划访问学者项目。 （）
