Research on Emergency Logistics Vehicle Route Scheduling and Optimization Method Based on Multi-Intelligent Decision System

Logistics distribution vehicle planning is an important issue in logistics transportation activities, and it also a research hotspot theoretical circles at home abroad. At present, many studies have focused on establishing models optimizing different environments achieved rich results. As part of production process, the efficiency very to whole process. Especially for emergency logistics, every minute critical situations such as disaster relief. In order improve this paper applies multiagent technology puts forward integrated modeling method enterprise macromodeling, business process mesomodeling, micromodel design. Using agent-oriented system development method, model established. The automatic trading described. results show that feasible effective use multi-intelligent fuselage decision-making. algorithm proposed has advantages over container sequence processing scheme, total cost acceptance decreases sharply initial stage, which shows practical convergence algorithm. adjacency search Tabu deal with calculation labor cost, neighborhood obtains better lower cost.