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Genetic Algorithm: Introduction, Implementation, Optimization with respect to Time Critical Problems - Tapa blanda

Mahmud, Firoz; Tauhid Zuhori, Syed

 
9783848444489: Genetic Algorithm: Introduction, Implementation, Optimization with respect to Time Critical Problems
Tapa blanda
ISBN 10: 3848444488 ISBN 13: 9783848444489
Editorial: LAP LAMBERT Academic Publishing, 2012

Sinopsis

Now a day’s Genetic Algorithms (GAs) become a rapidly growing field of computer science. In a Genetic Algorithms (GAs) have many fields to consider for development and have a lot of properties that makes it a good choice when one needs to solve very complicated problems. The performance of genetic algorithms is varied for different parameters that are used. So optimization of a problem by using Genetic algorithms (GAs) is one of the most popular research fields. One of the reasons for this is because of the complicated relation between the parameters and factors such as the complexity of the problem. From the various parameters if we take time constraints as a parameter then what happen, this is our key point for this work. One of the most important parameters is population size and we have found by testing a well known set of optimization benchmark problems that the optimal population size is not the same when time constraints were involved.

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Reseña del editor

Now a day's Genetic Algorithms (GAs) become a rapidly growing field of computer science. In a Genetic Algorithms (GAs) have many fields to consider for development and have a lot of properties that makes it a good choice when one needs to solve very complicated problems. The performance of genetic algorithms is varied for different parameters that are used. So optimization of a problem by using Genetic algorithms (GAs) is one of the most popular research fields. One of the reasons for this is because of the complicated relation between the parameters and factors such as the complexity of the problem. From the various parameters if we take time constraints as a parameter then what happen, this is our key point for this work. One of the most important parameters is population size and we have found by testing a well known set of optimization benchmark problems that the optimal population size is not the same when time constraints were involved.

Biografía del autor

The both authors are lecturer of the department of CSE at RUET. They have a research group and they work with it. They work on Genetic Algorithm and they solve many real life problems with Genetic Algorithm. They also work with different project teams. Their research interest is on Genetic Algorithm, Algorithm Optimization, Cloud Computing etc.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3848444488
ISBN 13 
9783848444489
Encuadernación
Tapa blanda
Número de páginas
64
Contacto del fabricante
no disponible
Persona responsable
no disponible