DNA Computing Model for the 0/1 Knapsack Problem

Aili Han
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引用次数: 3

Abstract

We have devised a DNA encoding method and a corresponding DNA algorithm for the 0/1 knapsack problem. Suppose that item set I={1,2 ... n}, profit set P={p_1,p_2,...,p_n}, weight set W={w_1,w_2,...,w_n}, and knapsack capacity is c. We use two DNA strands s_i1 and s_i2 to encode each item i, where the DNA strand s_i1 is with a length of wi whose center part is with a length of p_i, and the DNA strand s_i2 is the reverse complement of the center part of s_i1. For any two items i,j we add one DNA strand s_aij as an additional code, which is the reverse complement of the last part of s_i1 and the first part of s_j1. The proposed DNA encoding method is an improvement on the previous ones, and it provides further evidence for the ability of DNA computing to solve numerical optimization problems.
0/1背包问题的DNA计算模型
针对0/1背包问题,我们设计了一种DNA编码方法和相应的DNA算法。假设项目集I={1,2…n},利润集P={p_1,p_2,…,p_n},权值集W={w_1,w_2,…,w_n},背包容量为c。我们使用两条DNA链s_i1和s_i2来编码每个项目i,其中DNA链s_i1的长度为wi,其中心部分的长度为p_i, DNA链s_i2是s_i1中心部分的反向补码。对于任意两个项目i,j,我们添加一条DNA链s_aij作为附加代码,它是s_i1的最后一部分和s_j1的第一部分的反向补码。本文提出的DNA编码方法是对已有方法的改进,进一步证明了DNA计算解决数值优化问题的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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