New logistics distribution route dispatching mode based on genetic algorithm-ant colony algorithm
Fasheng Yi1, 2, Xiaoling Li1, 2, Jimin Yuan3
1School of Computer Science and Technology, Chengdu University, Chengdu 610106, P. R. China
2University Key Laboratory of Pattern Recognition and Intelligent information Processing, Chengdu 610106, P. R. China
3The Department Computer Engineering, Chengdu Aeronautic Vocational and Technical College, Chengdu 610000, China
For multi-target route optimization with constraint conditions, the mathematical model for logistics distribution route optimization is built to accelerate response speed of logistics enterprises to customers, improve service quality, and strengthen the satisfaction of customers, and a new algorithm with the combination of genetic and ant colony algorithms is proposed to solve the selection issues of such logistics route. Initial pheromone is formed with genetic algorithm, based on which the optimal solution is rapidly sought with ant colony algorithm, and complementary advantages are achieved between above two algorithms. Application examples and simulations are available for calculation, and the results show that such algorithm is practical and effective to optimize logistics distribution route.