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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gibbs MatthewDr Matthew S Gibbs is a Research Associate and Prof. Holger R Maier and Prof. Graeme C Dandy are Professors in the School of Civil, Env. & Mining Eng. at the University of Adelaide, Australia. They actively research opti. N° de réf. du vendeur 4965858
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 264 pages. 8.67x5.90x0.60 inches. In Stock. N° de réf. du vendeur __3639193326
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 264 pages. 8.67x5.90x0.60 inches. In Stock. N° de réf. du vendeur 3639193326
Quantité disponible : 1 disponible(s)