Logistics distribution optimal route decision-making system based on Agent

Abstract

The invention discloses an Agent-based logistics distribution optimal route decision-making system. The system comprises six parts, namely an Agent module, a decision support library, a blackboard system, a geographic information system, a benefit function and an optimal distribution route. Each Agent in the system constructs an independent module with different functions, and a system model M can be represented by a six-tuple, namely M = {Ag, D, B, G, U, L}. Modules responsible for completing all functions in the system are controlled and processed by Agents responsible for different roles, corresponding demand information is submitted to the blackboard system through a man-machine interaction interface, and the blackboard system analyzes the information and sends extracted key information to a decision support library for data processing. And a result fed back by the decision support library is transmitted to the master control Agent module, a distribution task is determined, and an optimal distribution route is selected under negotiation cooperation of the Agent modules by calling an optimal path algorithm.

Description

Technical field [0001] The present invention relates to the field of intelligent decision making, in particular, is an optimal route decision system for logistics distribution. Background technique [0002] Logistics distribution is an important part of modern logistics management. It is a key ring and basic guarantee for realizing e-commerce and live goods. However, in many logistics systems, the real-time update of logistics environment information is not well solved, and there are no problems in various lines, and efficient timeliness requirements, there is no good solution. Once they are generated, it is hard to change, and they have not considered it. Specifically, the congestion of each line, so that the final selection route cannot be truly conforming to the actual situation, it is not possible to ensure that the final running route is the optimal path, which is separated from the application. Inventive content [0003] It is an object of the present invention to improve ...

AI Technical Summary

Problems solved by technology

However, in many existing logistics systems, problems such as real-time update of logistics environment information, adjustment to each line, and efficient timeliness requirements have not been well resolved. Often, once each line is generated, it can hardly be changed, and no consideration Specifically, the congestion situation of each line makes it impossible to truly make the final selected route conform to the actual situation, and it is impossible to guarantee that the final running route is the optimal route, which deviates from the actual application

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