Determination of Practical Genetic Algorithm Parameter Settings: Applications to the Operation of Water Distribution Systems
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1
Symbolbild
Determination of Practical Genetic Algorithm Parameter Settings (2009)
DE PB NW RP
ISBN: 9783639193329 bzw. 3639193326, in Deutsch, Vdm Verlag Sep 2009, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, NDS, Germany.
This item is printed on demand - Print on Demand Titel. - While there has been extensive research demonstrating the potential of Genetic Algorithms (GA) in a variety of practical applications, the method has not been widely adopted in practice. A significant factor in this lack of uptake is the difficulty in determining appropriate parameter settings to ensure suitable solutions are found. Generally, the most suitable GA parameters must be found for each optimisation problem, and therefore it is expected that the best parameter values would be related to the characteristics of the fitness function. This book suggests two approaches for setting GA parameter values. The first is a simple method based on population convergence due to genetic drift only, while the second considers convergence of the population due to selection pressure, taking into account the characteristics of the fitness function. The resulting calibration approaches are generic, and can be applied to any function with continuous decision variables. The two approaches for determining GA parameter settings are applied to two water distribution system case studies to demonstrate their ability to find near-optimal solutions without the need for calibration of GA parameters. 264 pp. Englisch.
This item is printed on demand - Print on Demand Titel. - While there has been extensive research demonstrating the potential of Genetic Algorithms (GA) in a variety of practical applications, the method has not been widely adopted in practice. A significant factor in this lack of uptake is the difficulty in determining appropriate parameter settings to ensure suitable solutions are found. Generally, the most suitable GA parameters must be found for each optimisation problem, and therefore it is expected that the best parameter values would be related to the characteristics of the fitness function. This book suggests two approaches for setting GA parameter values. The first is a simple method based on population convergence due to genetic drift only, while the second considers convergence of the population due to selection pressure, taking into account the characteristics of the fitness function. The resulting calibration approaches are generic, and can be applied to any function with continuous decision variables. The two approaches for determining GA parameter settings are applied to two water distribution system case studies to demonstrate their ability to find near-optimal solutions without the need for calibration of GA parameters. 264 pp. Englisch.
2
Symbolbild
Determination of Practical Genetic Algorithm Parameter Settings (2013)
DE PB NW RP
ISBN: 9783639193329 bzw. 3639193326, in Deutsch, VDM Verlag Dr. Müller E.K. Okt 2013, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - While there has been extensive research demonstrating the potential of Genetic Algorithms (GA) in a variety of practical applications, the method has not been widely adopted in practice. A significant factor in this lack of uptake is the difficulty in determining appropriate parameter settings to ensure suitable solutions are found. Generally, the most suitable GA parameters must be found for each optimisation problem, and therefore it is expected that the best parameter values would be related to the characteristics of the fitness function. This book suggests two approaches for setting GA parameter values. The first is a simple method based on population convergence due to genetic drift only, while the second considers convergence of the population due to selection pressure, taking into account the characteristics of the fitness function. The resulting calibration approaches are generic, and can be applied to any function with continuous decision variables. The two approaches for determining GA parameter settings are applied to two water distribution system case studies to demonstrate their ability to find near-optimal solutions without the need for calibration of GA parameters. 264 pp. Englisch.
This item is printed on demand - Print on Demand Titel. Neuware - While there has been extensive research demonstrating the potential of Genetic Algorithms (GA) in a variety of practical applications, the method has not been widely adopted in practice. A significant factor in this lack of uptake is the difficulty in determining appropriate parameter settings to ensure suitable solutions are found. Generally, the most suitable GA parameters must be found for each optimisation problem, and therefore it is expected that the best parameter values would be related to the characteristics of the fitness function. This book suggests two approaches for setting GA parameter values. The first is a simple method based on population convergence due to genetic drift only, while the second considers convergence of the population due to selection pressure, taking into account the characteristics of the fitness function. The resulting calibration approaches are generic, and can be applied to any function with continuous decision variables. The two approaches for determining GA parameter settings are applied to two water distribution system case studies to demonstrate their ability to find near-optimal solutions without the need for calibration of GA parameters. 264 pp. Englisch.
3
Determination of Practical Genetic Algorithm Parameter Settings
DE PB NW
ISBN: 9783639193329 bzw. 3639193326, in Deutsch, Vdm Verlag Dr. Müller, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
While there has been extensive research demonstrating the potential of Genetic Algorithms (GA) in a variety of practical applications, the method has not been widely adopted in practice. A significant factor in this lack of uptake is the difficulty in determining appropriate parameter settings to ensure suitable solutions are found. Generally, the most suitable GA parameters must be found for each optimisation problem, and therefore it is expected that the best parameter values would be related to the characteristics of the fitness function. This book suggests two approaches for setting GA parameter values. The first is a simple method based on population convergence due to genetic drift only, while the second considers convergence of the population due to selection pressure, taking into account the characteristics of the fitness function. The resulting calibration approaches are generic, and can be applied to any function with continuous decision variables. The two approaches for determining GA parameter settings are applied to two water distribution system case studies to demonstrate their ability to find near-optimal solutions without the need for calibration of GA parameters.2009. 264 S. 220 mmVersandfertig in 3-5 Tagen, Softcover.
buecher.de GmbH & Co. KG, [1].
While there has been extensive research demonstrating the potential of Genetic Algorithms (GA) in a variety of practical applications, the method has not been widely adopted in practice. A significant factor in this lack of uptake is the difficulty in determining appropriate parameter settings to ensure suitable solutions are found. Generally, the most suitable GA parameters must be found for each optimisation problem, and therefore it is expected that the best parameter values would be related to the characteristics of the fitness function. This book suggests two approaches for setting GA parameter values. The first is a simple method based on population convergence due to genetic drift only, while the second considers convergence of the population due to selection pressure, taking into account the characteristics of the fitness function. The resulting calibration approaches are generic, and can be applied to any function with continuous decision variables. The two approaches for determining GA parameter settings are applied to two water distribution system case studies to demonstrate their ability to find near-optimal solutions without the need for calibration of GA parameters.2009. 264 S. 220 mmVersandfertig in 3-5 Tagen, Softcover.
4
Symbolbild
Determination of Practical Genetic Algorithm Parameter Settings (2009)
DE PB NW RP
ISBN: 9783639193329 bzw. 3639193326, in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, English-Book-Service - A Fine Choice [1048135], Waldshut-Tiengen, BW, Germany.
This item is printed on demand for shipment within 3 working days.
This item is printed on demand for shipment within 3 working days.
5
Symbolbild
Determination of Practical Genetic Algorithm Parameter Settings (2009)
DE PB NW RP
ISBN: 9783639193329 bzw. 3639193326, in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, English-Book-Service - A Fine Choice [1048135], Waldshut-Tiengen, Germany.
This item is printed on demand for shipment within 3 working days.
This item is printed on demand for shipment within 3 working days.
6
Determination of Practical Genetic Algorithm Parameter Settings (2013)
~EN PB NW
ISBN: 9783639193329 bzw. 3639193326, vermutlich in Englisch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, plus shipping.
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