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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