A mathematical model with the constraints of logistics and distribution issues, the use of ant colony algorithm to solve the problem of logistics distribution route optimization, replication and genetic algorithms, crossover and mutation genetic operators to introduce ant colony algorithm, while improving the way pheromone update customer point selection strategy to improve the convergence speed and global search capability. After several experiments and calculations prove that the optimal solution with improved ant colony algorithm to optimize logistics and distribution lines, can effectively and quickly determined the problem or near optimal solution.

02_算法实现部分源代码
.....................\Ant.cpp
.....................\Ant.h
.....................\Common.cpp
.....................\common.h
.....................\TSP.cpp
.....................\TSP.h

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