Logistics route optimization based on improved shark optimization algorithm

In order to explore an efficient logistics route planning method to cope with the growing logistics demand and complex traffic network. By analyzing the advantages and disadvantages of traditional shark optimization algorithm, this paper proposes an improved strategy to improve the convergence speed and global search ability of the algorithm when solving logistics path optimization problems. The improved algorithm combines advanced heuristic search technology and local optimization strategy to enhance the adaptability and flexibility of the algorithm while maintaining its stability. Then the improved shark optimization algorithm is applied to the actual logistics path planning scenario, and the effectiveness and superiority of the proposed method are verified by simulation experiments.