Aiming at the problem of poor convergence and low precision of the previous multi-sensor detection alliance mechanism algorithm for multi-targets

a multi-sensor detection alliance is proposed based on improved grey wolf algorithm. This scheme establishes a mathematical model for multi-sensor detection alliance and gives ability to the gray wolf to make decisions autonomously

so that the algorithm can jump out of the local optimal solution as soon as possible and improve the convergence degree of the algorithm. Simulation results show that the improved algorithm can find the optimal solution of alliance fitness in a short time and can maintain a good stability. Compared with the previous algorithms

the optimizing ability of the algorithm is further strengthened. By comparing with other algorithms

the improved algorithm has a good solving quality.