A Novel Bat Algorithm with Asymmetrical Weighed Variational Method in the Path Planning of UAVs

In this paper, a novel bat algorithm with an asymmetrical weighed variational method (AWVM-BA) is proposed. The proposed employs the BA point-to-point modified variation above three-dimensional flying region, which treats space as sets of geodesics in second order Euclidean warped space. Mutation and local selection procedure can be avoided at same time, solves problem optimum concave regions. As shown results, does not have much impact on calculation complexity time convex It greatly reduce avoid optimization disadvantage that iteration number increases comparatively faster increase deviation wind speed. Therefore, it requires higher hardware ability.