基于魯棒優(yōu)化模型的農(nóng)業(yè)資源配置研究
[Abstract]:With the development of economy, agricultural research has been paid more and more attention from all walks of life. Because the factors affecting agricultural resources are various, this paper will solve the problem of agricultural resource allocation by using robust optimization model in view of the various uncertain factors in the allocation of agricultural resources. This paper first introduces the research status of agricultural resource allocation in recent years, and analyzes several main factors that affect the rationality of agricultural resource allocation, including the production cost of agricultural products, the utilization rate of agricultural funds. The mobility of agricultural human resources and the selling cost of agricultural products are compared and analyzed. Secondly, the application field and research results of robust optimization in recent years are introduced, from the processing method under the condition of simple data uncertainty to robust optimization. The core content of this paper is to summarize the robust optimization methods which are widely used at present. Based on Ben-TalNemirovski robust model and BertsimasSim robust model, a robust optimization model is established by analyzing various uncertain factors in agricultural product transportation. Based on this model, nonlinear constraints are transformed into linear constraints. The nonlinear robust model is transformed into a deterministic mixed integer programming problem, and the total cost of agricultural transportation is controlled under the uncertain influence factors. The cost control of agricultural product transportation is one of the important components to realize the optimal allocation of agricultural resources. Therefore, the establishment of the robust optimization model provides a basis for the establishment of the robust optimization model of other influencing factors of agricultural resources.
【學(xué)位授予單位】:浙江海洋學(xué)院
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:F323.2;F224
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