基于鲁棒优化模型的农业资源配置研究
发布时间：2018-10-05 14:55
【摘要】：随着经济的发展，农业研究逐渐受到社会各界广泛的关注。由于影响农业资源的因素是多样的，因此本文将针对农业资源配置中的各种不确定因素，运用鲁棒优化模型解决农业资源配置问题。文中首先简单介绍了农业资源配置近几年的研究状况，分析了目前农业资源构成中几种主要的影响农业资源配置合理性的因素，包括：农产品生产成本、农业资金的利用率、农业人力资源流动性、农产品销售成本等，并且对目前应用于农业资源配置效率的几种方法进行了比较与分析。其次介绍了鲁棒优化近几年的应用领域及研究成果，由简单的数据不确定情况下的处理方法到鲁棒优化,本文的核心内容是对目前应用比较广泛的鲁棒优化方法做出总结，从Ben-TalNemirovski鲁棒模型和BertsimasSim鲁棒模型入手，分析农产品运输中的各种不确定因素建立鲁棒优化模型，以此模型为基础通过非线性约束转化为线性约束，把非线性的鲁棒模型转化为一个确定性的混合整数规划问题，在各项影响因素不确定的情况下，实现对农业运输中总成本的控制。 农产品运输成本的控制是实现整个农业资源优化配置的重要组成之一。因此此鲁棒优化模型的建立为农业资源影响因素中的其他影响因素的鲁棒优化模型的建立提供了依据。
[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.
【学位授予单位】：浙江海洋学院
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F323.2;F224
本文编号：2253818
[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.
【学位授予单位】：浙江海洋学院
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F323.2;F224
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