Optimizing Dynamic Logistics Allocation on Improved Ant Colony Algorithm

摘要

Facing distribution channel restructuring and quick response to the diversity of customer order demands, the specialized logistics companies have been urgently requested with the capability of allocating limited resources in the process of logistics allocation control and decision. Ant colony algorithm is proposed aiming at solving the logistics allocation problem, and pheromone updating strategy is ameliorated to improve the efficiency. The result of experiments demonstrates that the optimal or nearly optimal solutions to the logistic distribution routing can be quickly obtained by improved ant colony algorithm.