Articles liés à Genetic Algorithm: Introduction, Implementation, Optimizatio...

Genetic Algorithm: Introduction, Implementation, Optimization with respect to Time Critical Problems - Couverture souple

Mahmud, Firoz; Tauhid Zuhori, Syed

 
9783848444489: Genetic Algorithm: Introduction, Implementation, Optimization with respect to Time Critical Problems
Couverture souple
ISBN 10 : 3848444488 ISBN 13 : 9783848444489
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3848444488
ISBN 13 
9783848444489
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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