DocumentCode
2979387
Title
A Memetic Algorithm for closest string problem and farthest string problem
Author
Babaie, Maryam ; Mousavi, Seyed Rasoul
Author_Institution
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
fYear
2010
fDate
11-13 May 2010
Firstpage
570
Lastpage
575
Abstract
Sequences consensus problems are especially important in studying molecular evolution, protein structures, and drug target design. In this paper, we work on two of these problems, namely closest string problem and farthest string problem. These problems are NP-hard, and none of exact algorithms already proposed to solve them is in polynomial time. Many non-exact algorithms have been proposed which try to obtain ‘good’ solutions in acceptable time for these problems. In this paper, a Memetic Algorithm (MA) is proposed for the closest string problem, which outperforms the existing algorithms. We then extend the proposed algorithm to address the farthest string problem.
Keywords
Approximation algorithms; Bioinformatics; Computational biology; Drugs; Evolution (biology); Genetic algorithms; Iterative algorithms; Polynomials; Sequences; Simulated annealing; Bioinformatics; Memetic algorithm; metaheuristic; string selection problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2010 18th Iranian Conference on
Conference_Location
Isfahan, Iran
Print_ISBN
978-1-4244-6760-0
Type
conf
DOI
10.1109/IRANIANCEE.2010.5507004
Filename
5507004
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