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» Introduction to genetic algorithms
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144
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GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
15 years 6 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
162
Voted
CANDC
2006
ACM
15 years 5 months ago
Dealing with repetitions in sequencing by hybridization
DNA sequencing by hybridization (SBH) induces errors in the biochemical experiment. Some of them are random and disappear when the experiment is repeated. Others are systematic, i...
Jacek Blazewicz, Fred Glover, Marta Kasprzak, Wojc...
JNW
2008
117views more  JNW 2008»
15 years 5 months ago
An Intelligent Multicast Ad-hoc On demand Distance Vector Protocol for MANETs
-Recently multicast routing protocols in Mobile Ad-hoc Networks (MANETs) are emerging for wireless group communication. This includes application such as multipoint data disseminat...
E. Baburaj, V. Vasudevan
229
Voted
BMCBI
2010
176views more  BMCBI 2010»
15 years 2 months ago
Haplotype association analyses in resources of mixed structure using Monte Carlo testing
Background: Genomewide association studies have resulted in a great many genomic regions that are likely to harbor disease genes. Thorough interrogation of these specific regions ...
Ryan Abo, Jathine Wong, Alun Thomas, Nicola J. Cam...
AOSD
2011
ACM
14 years 8 months ago
An aspect-oriented approach for implementing evolutionary computation applications
Object-oriented frameworks support design and code reuse for specific application domains. To facilitate the development of evolutionary computation (EC) programs, such as geneti...
Andres J. Ramirez, Adam C. Jensen, Betty H. C. Che...