Research And Application Of Distribution Route Optimization Information Service System Based On Ant Colony Algorithm

Logistics and distribution logistics activities associated directly with consumers link in the cost of logistics, and distribution costs account for a very high proportion. Thus, a reasonable distribution lines are arranged directly affect the carrier’s costs. To meet the diverse needs of users in the premise of how to effectively use existing resources to reduce operating costs for vehicle scheduling enterprises, to bring greater profits, is the development of the logistics industry’s target, and also a key research topic.At this stage, when the majority of our logistics business of distribution vehicle scheduling based primarily on experience, easily lead to inefficient use of vehicles and other issues. There are strong practical research based on ant colony algorithm urban distribution vehicle routing optimization problem, the paper use the ant colony algorithm to solve practical problems Harbin Longyun path optimization of logistics parks, ant colony algorithm in the algorithm processes and state transition probabilities to improve both the traditional ant colony algorithm to optimize the objective to seek the shortest path optimization to improve to meet the actual city road network conditions and operational needs. Building dynamic impedance function ant colony algorithm to consider the impact of dynamic traffic conditions the actual road network, which is optimized to meet the target completion of freight vehicles under the premise of customer demand for our products, making all vehicles traveling the route most reasonable.Paper comprehensive theoretical analysis and empirical research method of combining the design and implementation of vehicle delivery path query system completed, come directly to meet the objectives of the specific model of distribution route through the search system, provide an intuitive for the driver to travel planning, as part of logistics management services system has practical value, to provide users with more efficient routing and navigation instructions.