Multi-sensor Detection Network based on Improved Bat Algorithm

In view of the disadvantages of low quality and slow calculation speed in the current establishment of multi-sensor detection network algorithms, this paper introduces an improved bat algorithm to solve the optimal solution of the detection network. The basic bat algorithm was improved by K-means algorithm initialization, speed update using adaptive step size, reverse direction search and mutation operation, and an improved bat algorithm was obtained. Simulation experiments show that the improved algorithm has significantly improved the speed of calculation and optimization. In addition, by comparing the improved bat algorithm with the particle swarm optimization algorithm and bee colony algorithm, it is proved that the proposed algorithm is of higher quality and easier to solve. Get the optimal solution of the probe network.