An Optimized Bat Algorithm Combining Local Search and Global Search

This paper proposes an optimized Bat algorithm combining local search and global search to solve the problem of low accuracy of bat algorithm and easy to fall into local optimum in the later stage. The optimized Bat algorithm enhance the diversity of bat algorithm, improve the search accuracy and convergence speed of bat algorithm, And by solving a variety of different types of functions, it is proved that the optimized bat algorithm that combines local search and global search proposed in this paper is feasible.