title: A hybrid metaheuristic for closest string problem.
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.
authors.affiliation: Electrical and Computer Engineering Department, Isfahan University of Technology, Isfahan 84156-83111, Islamic Republic of Iran. srm@cc.iut.ac.ir
authors.forename: Sayyed Rasoul
authors.initials: SR
authors.lastname: Mousavi
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D019295:Computational Biology / Q000379:methods*; D053263:Gene Regulatory Networks; D008962:Models, Theoretical