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基于魯棒優(yōu)化模型的農(nóng)業(yè)資源配置研究

發(fā)布時(shí)間:2018-10-05 14:55
【摘要】:隨著經(jīng)濟(jì)的發(fā)展,農(nóng)業(yè)研究逐漸受到社會(huì)各界廣泛的關(guān)注。由于影響農(nóng)業(yè)資源的因素是多樣的,因此本文將針對(duì)農(nóng)業(yè)資源配置中的各種不確定因素,運(yùn)用魯棒優(yōu)化模型解決農(nóng)業(yè)資源配置問題。文中首先簡單介紹了農(nóng)業(yè)資源配置近幾年的研究狀況,分析了目前農(nóng)業(yè)資源構(gòu)成中幾種主要的影響農(nóng)業(yè)資源配置合理性的因素,包括:農(nóng)產(chǎn)品生產(chǎn)成本、農(nóng)業(yè)資金的利用率、農(nóng)業(yè)人力資源流動(dòng)性、農(nóng)產(chǎn)品銷售成本等,并且對(duì)目前應(yīng)用于農(nóng)業(yè)資源配置效率的幾種方法進(jìn)行了比較與分析。其次介紹了魯棒優(yōu)化近幾年的應(yīng)用領(lǐng)域及研究成果,由簡單的數(shù)據(jù)不確定情況下的處理方法到魯棒優(yōu)化,本文的核心內(nèi)容是對(duì)目前應(yīng)用比較廣泛的魯棒優(yōu)化方法做出總結(jié),從Ben-TalNemirovski魯棒模型和BertsimasSim魯棒模型入手,分析農(nóng)產(chǎn)品運(yùn)輸中的各種不確定因素建立魯棒優(yōu)化模型,以此模型為基礎(chǔ)通過非線性約束轉(zhuǎn)化為線性約束,把非線性的魯棒模型轉(zhuǎn)化為一個(gè)確定性的混合整數(shù)規(guī)劃問題,在各項(xiàng)影響因素不確定的情況下,實(shí)現(xiàn)對(duì)農(nóng)業(yè)運(yùn)輸中總成本的控制。 農(nóng)產(chǎn)品運(yùn)輸成本的控制是實(shí)現(xiàn)整個(gè)農(nóng)業(yè)資源優(yōu)化配置的重要組成之一。因此此魯棒優(yōu)化模型的建立為農(nóng)業(yè)資源影響因素中的其他影響因素的魯棒優(yōu)化模型的建立提供了依據(jù)。
[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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