A hybrid metaheuristic for Closest String Problem Online publication date: Sat, 24-Jan-2015
by Sayyed Rasoul Mousavi
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 4, No. 3, 2011
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.
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