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Comparative analysis of the efficiency of various dynamic programming algorithms for the knapsack problem

机译:背包问题各种动态规划算法效率的比较分析

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When designing electronic circuits, we often need to solve discrete optimization problems. One of the basic methods for solving such problems is the method of dynamic programming. The paper is devoted to a comparative study of different versions of the dynamic programming method for the knapsack problem. The formulation of the problem and various versions of dynamic programming method are discussed. These versions are experimentally evaluated on randomly generated instances. We draw conclusions about the efficiency of various variants for dynamic programming based on experimental data.
机译:在设计电子电路时,我们经常需要解决离散优化问题。解决此类问题的基本方法之一是动态编程方法。本文致力于对背包问题的不同版本的动态规划方法进行比较研究。讨论了问题的表述以及动态编程方法的各种版本。这些版本在随机生成的实例上进行了实验评估。我们根据实验数据得出关于各种变量进行动态编程的效率的结论。

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