The Research Of Optimal Vehicle Scheduling Model Of Distribution Based On Ontology

At present, modern logistics has become a new economic hot spot, logistics is the third headspring of the profits.The distribution was considered to be a breach of reaping profit from this headspringl. Along with the economical development, the distribution informationalized,automated and intellectualized request is getting higher and higher. But at present, our country distribution informationization level is low, the information does not share, the optimal vehicle scheduling to be at the manual scheduling phase and not enough intellectualization and so on. Under this situation, this article constructs the single center optimal vehicle scheduling model and multi-depots joint distribution optimal vehicle scheduling model, and using ontology technology, the Agent technology and the negociation technology based on Agent, construct intelligentized and automated distribution optimal vehicle scheduling model of distribution cernter based on ontology, on basis of single center optimal vehicle scheduling model and multi-depots joint distribution optimal vehicle scheduling model.In the distribution domain, this article on the information sharing question, take distribution task as the research core and the starting point, abstract its related important concept, using the ontology technology to describe it, solved the semantic heterogeneous problem to realize distribution allocation information sharing and the knowledge reuse question.Based on study of partheno-genetic algorithtn,in view of sinle distribution center vehicles scheduling problem with"time windows",constructed single distribution center optimal vehicle scheduling model based on the distribution ontology.The introduction "grouping" thought that obtains initial feasible solution of the partheno-genetie algorithtn, namely initial chromosome, raised the efficiency which the question solves.In the above research's foundation, in view of the multi-depots' joint distribution vehicles scheduling problem, constructed multi-depots joint distribution optimal vehicle scheduling model based on the distribution ontology. Some key technical points in the negociation based on Agent have discussed, such as negociation strategy. The constructed negociation model has on Agent have discussed, such as negociation strategy. The constructed negociation model has solved the profit shares problem of joint distribution.All experimental data has analyzed and testify feasibility and efficiency of that joint distribution optimal Scheduling system this paper has put forward.The paper regarding the intelligent optimal vehicle scheduling problem, proposed distribution ontology, the single intelligent center optimal vehicle scheduling model and multi-depots joint distribution optimal vehicle scheduling model。We use some new technology and method based on past work to do further study on distribution optimal vehicle scheduling problem.