一种改进的蝙蝠算法研究

Bat algorithm (BA) are a new class of stochastic optimization algorithms search the global optimal solution, but the standard compilation bat optimization algorithm exists accuracy is not high, late slow convergence, easy to fall into local optimum problems. To solve these problems, 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.