A Configuration Of Agricultural Resources Based On Robust Optimization Model

With the development of economics, agricultural research has increasingly beenwidespread concerned by the community. Due to some factors which affect agriculturalresources are very diversity, this thesis will solve some uncertainties problems on theallocation of resources for agriculture. The problem of resource allocation on agriculturalwill be solved by robust optimization model. In this thesis, firstly, we will introduce theresearch status of the allocation of agriculture resources in recent years, then the thesisanalysis several major factors which influence the reasonable allocation of agriculturalresource, including the cost of production of agricultural products, the utilization ofagricultural funds, mobility of agricultural human resource, sales cost of agriculturalproducts, etc. And several current methods used for agricultural resource allocationefficiency were compared and analyzed. Secondly, the thesis will introduce a robustoptimization applications and several research results in recent years through a simple dataprocessing method, the robust optimization will be got on the basis of uncertainty simpledates. The core content of this thesis is making summary of widely used robustoptimization method in recent years. Take the robust models made by Ben-Tal&Nemirovski and that by rtsimas&Sim as a beginning, a robust optimization model will bebuilt by analyzing variety of uncertainties during the transport of agricultural products.Based on this model, nonlinear constraints will turn into linear constraints, then thenon-linear model will be transformed into a deterministic mixed integer programmingproblems. At last, In the case of various uncertain factors, we will reach the goal ofcontrolling total cost on the agricultural transport.Controlling the cost of agricultural transport is one of the most important componentsto achieve optimal allocation of resources during the whole process of agriculture.Therefore, establishing a robust optimization model in this essay will provide a basis foranalyzing other influencing factors of agricultural resources.