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Using Parallel Filtering Algorithms to Solve the 0-1 Knapsack Problem on DNA-based Computing

机译:使用并行过滤算法解决基于DNA的0-1背包问题

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It is shown first by Adleman that deoxyribonucleic acid (DNA) strands could be employed towards calculating solution to an instance of the NP-complete Hamiltonian Path Problem (HPP). Lipton also demonstrated that Adleman’s techniques could be used to solve the satisfiability (SAT) problem. In this paper, it is demonstrated how the DNA operations presented by Adleman and Lipton can be used to develop the DNA-based algorithm for solving the 0-1 Knapsack Problem.
机译:Adleman首先证明,脱氧核糖核酸(DNA)链可用于计算NP完全汉密尔顿路径问题(HPP)实例的解。立顿还证明,阿德曼的技术可以用来解决可满足性(SAT)问题。在本文中,将演示如何使用Adleman和Lipton提出的DNA操作来开发基于DNA的算法来解决0-1背包问题。

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