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

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 dimension 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.

Key words: biogeography-based optimization algorithm, local search strategy, double migration operator, double mutation operator