摘要
提出了一种基于powell机制的改进蝙蝠算法(POBA).从而提高编蝠算法的局部搜索能力,避免种群个体陷入局部最优,增强算法全局寻优能力.在MATLAB环境下,运用5个标准测试函数进行实验仿真,结果表明,与BA算法相比,POBA算法的收敛速度及精度均有明显提高.
An improved algorithm is proposed bat powell mechanism based(POBA).Compiled bat algorithm to improve the local search ability,to avoid falling into local optimum populations of individuals,and enhance the overall algorithm optimization.In the MATLAB environment,the use of five standard test functions simulation experiments,the results show that compared with BA algorithm,POBA convergence of the algorithm has significantly improved the speed and accuracy.
出处
《微电子学与计算机》
CSCD
北大核心
2015年第3期73-76,80,共5页
Microelectronics & Computer
基金
国家自然科学基金项目(51274118)
