Study on agile logistics distribution optimization model based on multi-agent

Combined with intelligent algorithms and dynamic multi-agent technology, this paper proposes an agile logistics distribution optimization model for scheduling vehicle routing problem (VRP) timely. This model uses frame structures to describe symbolic knowledge for model's target function and constraints, so that some issues involved in the logistics scheduling optimization can be done away with. The results of simulation experiments prove that this model has mighty efficiency and bright future.