Different Applications of Cascaded Genetic Algorithms: Data Clustering, Function Optimization and Shape Recognition - Tapa blanda

Garai, Gautam

 
9783639282702: Different Applications of Cascaded Genetic Algorithms: Data Clustering, Function Optimization and Shape Recognition
Tapa blanda
ISBN 10: 3639282701 ISBN 13: 9783639282702
Editorial: VDM Verlag Dr. Müller, 2010

Sinopsis

The Ph.D. thesis presents a newly designed novel Genetic Algorithm namely, CAscaded Genetic Algorithm (CAGA). The ultimate goal of the method is to provide the enhancement of the conventional GAs. CAGA eliminates the possibility to be trapped in a local optimum which is the primary drawback of the conventional GA. The hybrid version of CAGA has very well demonstrates this criterion. The cascaded method has been applied on data clustering, function optimization and shape recognition. The results of CAGA shows that it outperforms or equally performs compared to the relevant genetic algorithms.

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Reseña del editor

The Ph.D. thesis presents a newly designed novel Genetic Algorithm namely, CAscaded Genetic Algorithm (CAGA). The ultimate goal of the method is to provide the enhancement of the conventional GAs. CAGA eliminates the possibility to be trapped in a local optimum which is the primary drawback of the conventional GA. The hybrid version of CAGA has very well demonstrates this criterion. The cascaded method has been applied on data clustering, function optimization and shape recognition. The results of CAGA shows that it outperforms or equally performs compared to the relevant genetic algorithms.

Biografía del autor

Gautam Garai is a Scientist and got undergraduate, post-graduate and Ph.D. degrees in Computer Sc. & Engg. from Jadavpur University, Kolkata, India. He has published several research papers. His research interests are in Evolutionary Algos., Data Clustering and Classification, Pattern Recognition, Data Mining and Bio-informatics.

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Editorial
VDM Verlag Dr. Müller
Año de publicación
2010
Idioma
Inglés
ISBN 10 
3639282701
ISBN 13 
9783639282702
Encuadernación
Tapa blanda
Número de páginas
248
Contacto del fabricante
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Persona responsable
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