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Molecular solution to the optimal linear arrangement problem based on DNA computation

机译:基于DNA计算的最优线性排列问题的分子解

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Due to massive parallelism, enormous memory storage and very low energy consumption, biomolecular operations have been suggested to solve various NP-hard problems that are beyond the capability of the fastest known digital computer. The optimal linear arrangement (OLA) problem is a well-known NP-hard combinatorial optimization problem. Based on a DNA computational model, this paper describes a novel algorithm for the OLA problem, which is executed in O(n 3log2 n) DNA operations on tubes of (nK + n + m + L + 1)-bits DNA strands, where K = é log2 n ùK = leftlceil {log_2 n} rightrceil and L = é log2 (nm ) ù + 1L = leftlceil {log _2 left({nm} right)} rightrceil + 1 . With the advance in molecular biology techniques, this algorithm may be of practical utility.
机译:由于巨大的并行性,巨大的内存存储和非常低的能耗,已提出了生物分子操作来解决各种NP难题,这是最快的已知数字计算机无法解决的。最优线性排列(OLA)问题是众所周知的NP-hard组合优化问题。本文基于DNA计算模型,描述了一种针对OLA问题的新算法,该算法在O(n 3 log 2 n)个DNA操作中对( nK + n + m + L + 1)位DNA链,其中K =élog 2 nùK= leftlceil {log_2 n} rightrceil,L =élog 2 (nm)ù+ 1L = leftlceil {log _2 left({nm} right)} rightrceil + 1。随着分子生物学技术的进步,该算法可能具有实用性。

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