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A Three-String Approach to the Closest String Problem

机译:最接近字符串问题的三字符串方法

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摘要

Given a set of n strings of length L and a radius d, the closest string problem asks for a new string t_(sol) that is within a Hamming distance of d to each of the given strings. It is known that the problem is NP-hard and its optimization version admits a polynomial time approximation scheme (PTAS). Parameterized algorithms have been then developed to solve the problem when d is small. In this paper, with a new approach (called the 3-string approach), we first design a parameterized algorithm for binary strings that runs in O (nL + nd~36.731~d) time, while the previous best runs in O (nL + nd8~d) time. We then extend the algorithm to arbitrary alphabet sizes, obtaining an algorithm that runs in O (nL + ndl.612~d (α~2 + 1 - 2α~(-1) + α~(-2))~(3d)) time, where α = 3(1/2)|Σ|— 1 + 1. This new time bound is better than the previous best for small alphabets, including the very important case where ∑ = 4 (i.e., the case of DNA strings).
机译:给定一组长度为L且半径为d的n个字符串,最接近的字符串问题将要求新字符串t_(sol)到每个给定字符串的汉明距离为d。众所周知,该问题是NP难题,其优化版本允许采用多项式时间近似方案(PTAS)。然后开发了参数化算法来解决d小时的问题。在本文中,我们采用一种新的方法(称为3串方法),为二进制字符串设计了一种参数化算法,该算法在O(nL + nd〜36.731〜d)时间运行,而之前的最佳算法在O(nL + nd8〜d)时间。然后将算法扩展为任意字母大小,从而获得以O(nL + ndl.612〜d(α〜2 +1-2α〜(-1)+α〜(-2))〜(3d)运行的算法)时间,其中α= 3(1/2)|Σ|-1 +1。对于小字母,这个新的时限要比以前的最佳时限好,包括∑ = 4的非常重要的情况(即DNA的情况)字符串)。

著录项

  • 来源
    《Computing and combinatorics》|2010年|p.449-458|共10页
  • 会议地点 Nha Trang(VN);Nha Trang(VN);Nha Trang(VN)
  • 作者单位

    Department of Mathematical Sciences, Tokyo Denki University, Hatoyama, Saitama 350-0394, Japan;

    School of Computer Science, University of Waterloo, 200 University Ave. W, Waterloo, ON, Canada N2L3G1;

    Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

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