用序贯最小二乘规划优化肉牛饲料比例

Khomkris Mathiang, Kulwarun Warunsin, Phuwitson Phumsaranakhom
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引用次数: 0

摘要

生产优质肉牛需要优质的粗饲料和含有与牛龄相适应的营养价值的饲料。生产优质肉牛的策略之一是在育肥饲料中进行智能营养管理。肉牛饲料日粮的优化是一项具有挑战性的任务。因此,本研究旨在通过10种肉牛饲料配方,比较SLSQP、COBYLA、Simplex和Primal-Dual 4种优化方法的效率。利用畜禽发展部动物营养发展局的数据库,通过比较准确性和处理时间。根据实验结果,所有策略产生的答案都同样准确。但是,处理SLSQP所需的时间最少,其次是Simplex和primary - dual。由于迭代循环超出了我们的限制,COBYLA是可以忽略的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Optimized Proportion for Beef Cattle Feed using Sequential Least Squares Programming
Producing premium beef cattle requires a good quality roughage and feed containing nutritional value appropriate to the age of the cattle. One strategy for producing high-quality beef cattle is smart nutrition management in the feed of fattening. Optimal feed ration for beef cattle is a challenging task under the multiple constrains. Therefore, this research aims to compare the efficiency of 4 optimal methods: SLSQP, COBYLA, Simplex, and Primal-Dual via the 10 beef cattle feed formulas. Using a database from the Bureau of Animal Nutrition Development, Department of Livestock Development, by comparing the accuracy and processing time. According to the experimental findings, all strategies produced answers that were equally accurate. However, the time required to process SLSQP is minimal, followed by the Simplex and Primal-Dual. Due to the iteration loop exceeding our limit, COBYLA is negligees.
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