In order to further improve the search performance of the bat algorithm

the dual-search function of the memetic algorithm is introduced into the bat algorithm

and a hybrid bat algorithm（ BA） based on memetic framework is proposed. The verification of six standard test functions shows that the algorithm has advantages in convergence speed and performance. The algorithm is applied to WSNs node location

so as to increase localization precision. The results show that under the same conditions

positioning precision of node is improved by 0. 5 m in average compared with CBA.