Title : Self organizing genetic algorithm for multiple sequence alignment

Type of Material: Thesis
Title: Self organizing genetic algorithm for multiple sequence alignment
Researcher: Amouda, A
Guide: Kuppuswami, S
Department: Department of Computer Science
Publisher: Pondicherry University
Place: Pondicherry
Year: November, 2011
Language: English
Subject: Self organizing genetic algorithm
Multiple sequence alignment
Dissertation/Thesis Note: PhD
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_261998
040__|aPNDI_605104|dIN-AhILN
041__|aeng
100__|aAmouda, A|eResearcher
110__|aDepartment of Computer Science|bPondicherry University|dPondicherry
245__|aSelf organizing genetic algorithm for multiple sequence alignment
260__|aPondicherry|bPondicherry University|cNovember, 2011
502__|bPhD
518__|oDate of Notification|d2011-11
520__|aGenetic Algorithms (GA) are adaptive search techniques used to solve difficult optimization problem of huge search space in various scientific domains. To solve complex problems in various domains where little is known, GAs can be very useful. The perfo
653__|aSelf organizing genetic algorithm
653__|aMultiple sequence alignment
700__|aKuppuswami, S|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/5296|yShodhganga
905__|anotification

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