Research on Optimization of Cigarette Delivery Rout Based on Differential Evolution Algorithm

This paper presents a differential evolutionary algorithm to solve the tobacco distribution problem. On the basis of inheriting many advantages of the traditional genetic algorithm to solve the path optimization problem, the differential evolutionary algorithm has stronger robustness and more significant approximation effect. Due to the time and precision requirements of tobacco distribution problem, differential evolution algorithm has significant advantages in solving this problem.