Research on Modeling of Multi — vehicle Supply Chain Logistics Transportation Scheduling Based on Improved Ant Colony Algorithm

A multi-vehicle supply chain logistics transportation scheduling model based on improved ant colony algorithm is studied to realize high speed and high quality path optimization and reduce transportation cost and time.Based on basic ant colony algorithm of heuristic information function and pheromone update model to implement improvements,improved ant colony algorithm,on this basis,set by the transportation cost and shipping time,vehicle fuel consumption,distribution range and highest capacity into the algorithm,the constraint factors such as building contains multiple constraint factor of the scheduling model,realize the model of supply chain logistics transportation scheduling,Results show that the model has high convergence speed and the path optimization performance,the search for the path to the high quality,can according to different retailers distribution network to search for the optimal path,and to seek different path scheduling models of vehicles,scheduling results can meet the highest distribution of each vehicle distance and capacity constraints,realize the model of supply chain logistics optimization scheduling,Achieve the goal of reducing transportation cost and transportation time