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一种用于解决最大团问题的P系统和一种受膜启发的构造性DNA算法。

A P system and a constructive membrane-inspired DNA algorithm for solving the Maximum Clique Problem.

作者信息

García-Arnau Marc, Manrique Daniel, Rodríguez-Patón Alfonso, Sosík Petr

机构信息

Departamento Inteligencia Artificial, Universidad Politécnica de Madrid (UPM), Boadilla del Monte s/n, 28660 Madrid, Spain.

出版信息

Biosystems. 2007 Nov-Dec;90(3):687-97. doi: 10.1016/j.biosystems.2007.02.005. Epub 2007 Feb 23.

Abstract

We present a P system with replicated rewriting to solve the Maximum Clique Problem for a graph. Strings representing cliques are built gradually. This involves the use of inhibitors that control the space of all generated solutions to the problem. Calculating the maximum clique for a graph is a highly relevant issue not only on purely computational grounds, but also because of its relationship to fundamental problems in genomics. We propose to implement the designed P system by means of a DNA algorithm. This algorithm is then compared with two standard papers that addressed the same problem and its DNA implementation in the past. This comparison is carried out on the basis of a series of computational and physical parameters. Our solution features a significantly lower cost in terms of time, the number and size of strands, as well as the simplicity of the biological implementation.

摘要

我们提出一种具有复制重写功能的P系统,用于解决图的最大团问题。表示团的字符串是逐步构建的。这涉及使用抑制剂来控制该问题所有生成解的空间。计算图的最大团不仅在纯计算方面是一个高度相关的问题,而且因其与基因组学中的基本问题的关系也是如此。我们建议通过DNA算法来实现所设计的P系统。然后将该算法与过去处理相同问题及其DNA实现的两篇标准论文进行比较。这种比较是基于一系列计算和物理参数进行的。我们的解决方案在时间、链的数量和大小以及生物实现的简单性方面具有显著更低的成本。

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