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首页> 外文期刊>Agricultural Economics >Combination of linear and weighted goal programming with penalty function in optimisation of a daily dairy cow ration.
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Combination of linear and weighted goal programming with penalty function in optimisation of a daily dairy cow ration.

机译:将线性和加权目标规划与惩罚函数相结合,以优化每日奶牛的定量。

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摘要

The aim of the paper is to present a developed spreadsheet tool for the formulation of a daily dairy cow ration. It is constructed on the basis of two linked sub-models developed on the MS Excel platform. It merges the common linear programming model and the weighted-goal programming model with a penalty function. The first sub-model is included in the tool to make an estimate of the least-cost magnitude that might be expected. The obtained result is entered into the second sub-model as the goal that should be met as closely as possible. The tool was tested at two different values of preferential weights for dairy cows with a 25 kg daily milk yield. The results obtained confirm the benefits of the applied approach. In contrast to the common linear program tools, which terminate at formulation of the least-cost ration, our tool provides more efficient rations (in both economic and nutritive terms) by fine-tuning the nutritive goals and by allowing for harmless deviations from these goals by application of penalty functions.
机译:本文的目的是提供一种开发的电子表格工具,用于制定每日奶牛配给量。它是基于在MS Excel平台上开发的两个链接子模型构建的。它将普通线性规划模型和加权目标规划模型与惩罚函数合并。工具中包含第一个子模型,以估算可能期望的最低成本。将获得的结果输入到第二个子模型中,作为应该尽可能接近地实现的目标。该工具在每日产奶量为25公斤的奶牛的两个不同的优先权重值下进行了测试。获得的结果证实了所采用方法的好处。与通常以制定成本最低的口粮而终止的线性计划工具相反,我们的工具通过微调营养目标并允许与这些目标的无害偏离来提供更有效的口粮(在经济和营养方面)通过惩罚函数的应用。

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