MATLAB在运输最优化问题中的应用

范文编号:XXLW029 范文字数:10559,页数:20

摘     要
 运输行业的重要性随着中国经济的不断发展而快速提高，为了降低物流成本,我们有必要研究物流运输中如何组织物资调运才能使总运输成本最少这一重要问题。而传统的手工解决方式存在着效率低、计算繁琐、数据易丢失等缺点，因此利用MATLAB软件来计算出最佳结果是很有必要的。
 本文以仓库选址和货物配送最优化设计为例，运用MATLAB软件进行求解，使选取的结果更加科学合理。对于仓库选址模型利用MATLAB优化工具箱中的“fmincon”函数,求解多变量有约束非线形函数的最小值，从而得到仓库最佳坐标值。而对于配送模型，则不管因素怎么变化，只需对参数进行适当的变化再运用MATLAB软件就可以马上得到最好的答案。研究结果表明,基于MATLAB函数的优化算法编程简单,运算速度快，结果更精确，还可以推广大更大的经济领域中去，具有很大的可塑性。
 关键词： MATLAB 最优化 应用
 
Abstract
 The transporting industry significance is fastly improved with chinese economy uninterrupted growth.. For reducing logistics cost,we must study the important issue that how goods and materials organizat allocates and transports ability to make general transportation cost the fewest. The tradition handwork way exist shortcomings such as Inefficient, calculation is miscellaneous and trivial, the data is easy to be lost.So use the MATLAB to manage it is necessary.
 The main body of a book is the example with storehouse selections location and the goods optimization distribution.Apply the MATLAB software to be finding the solution in progress.Use the result choosing science is especially rational.Applying MATLAB "fmincon" the function in optimizing tool case , designing the precise choosing the location model algorithm, give out the feasibility of calculating an example concretely.Does not care other factor why change. Under being suitable to any condition to the distribution, the model that only requires to appropriate change the parameter and apply MATLAB be able to get the best answer within the shortest time right away again.Study the optimization algorithm programming that result indicates, MATLAB function-based is simple , the arithmetic speed is quick , have very big plasticity in being able to extend bigger economic fields.
Key words: MATLAB optimization apply

目  录
中文摘要 i
英文摘要 ii
目录 iii
第一章  绪论 ... 1
 1.1   研究动机与目的 1
 1.2   研究背景 1
 1.3   研究方法与系统描述 2
 1.4   范文內容概述 3
第二章  仓库最优选址 4
 2.1   单源选址模型 4
 2.2   基于MATLAB的优化算法 4
 2.3   多源选址模型 5
 2.4   实例分析 7
第三章  配送最优化设计 9
  3.1   模型的提出 9
 3.2   模型的建立和求解 10
 3.3   模型的讨论和评价 13
第四章  结论 15
致谢 16
参考文献 17

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