DocumentCode
2752529
Title
Solving the Molecular Sequence Alignment Problem with Generalized Differential Evolution 3 (GDE3)
Author
Kukkonen, Saku ; Jangam, Sujit R. ; Chakraborti, Nirupam
Author_Institution
Dept. of Inf. Technol., Lappeenranta Univ. of Technol.
fYear
2007
fDate
1-5 April 2007
Firstpage
302
Lastpage
309
Abstract
Molecular sequence alignment is one of the most essential tools of the molecular biology. It permits to track changes and similarities between molecular sequences. In this paper the molecular sequence alignment problem is formulated suitable for an evolutionary algorithm (EA), and two problem instances are solved using generalized differential evolution 3 (GDE3), which is a general purpose EA. Regardless of relatively large number of decision variables, the instances were solvable and results were comparable to those by sequence alignment solvers in comparison
Keywords
evolutionary computation; molecular biophysics; sequences; evolutionary algorithm; generalized differential evolution 3; molecular biology; molecular sequence alignment problem; molecular sequences; Ant colony optimization; Biology; Computational intelligence; Constraint optimization; Decision making; Evolution (biology); Evolutionary computation; Genetics; Proteins; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0702-8
Type
conf
DOI
10.1109/MCDM.2007.369105
Filename
4223020
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