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一种用于最近字符串问题的混合元启发式算法。

A hybrid metaheuristic for closest string problem.

作者信息

Mousavi Sayyed Rasoul

机构信息

Electrical and Computer Engineering Department, Isfahan University of Technology, Isfahan 84156-83111, Islamic Republic of Iran.

出版信息

Int J Comput Biol Drug Des. 2011;4(3):245-61. doi: 10.1504/IJCBDD.2011.041413. Epub 2011 Jul 21.

Abstract

The Closest String Problem (CSP) is an optimisation problem, which is to obtain a string with the minimum distance from a number of given strings. In this paper, a new metaheuristic algorithm is investigated for the problem, whose main feature is relatively high speed in obtaining good solutions, which is essential when the input size is large. The proposed algorithm is compared with four recent algorithms suggested for the problem, outperforming them in more than 98% of the cases. It is also remarkably faster than all of them, running within 1 s in most of the experimental cases.

摘要

最近字符串问题(CSP)是一个优化问题,即要从多个给定字符串中获得距离最小的字符串。本文针对该问题研究了一种新的元启发式算法,其主要特点是在获得良好解决方案时速度相对较快,这在输入规模较大时至关重要。将所提出的算法与针对该问题最近提出的四种算法进行了比较,在超过98%的情况下性能优于它们。它也比所有这些算法都快得多,在大多数实验情况下运行时间在1秒以内。

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