Application of Proxy Simulators in Groundwater Simulation Optimization

Aditya Pratap Singh Parihar

ISBN 10: 3659925357 / ISBN 13: 9783659925351

Editore: LAP LAMBERT Academic Publishing Jul 2016, 2016

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This item is printed on demand - it takes 3-4 days longer - Neuware -Simulation optimization techniques are often used to address many problems of groundwater management. In these techniques an aquifer simulation model is coupled with an optimization algorithm to get the optimal solution. Simulation model normally engages a finite difference, finite element or a mesh free technique. ANN and SVM based proxy simulators are used in this study to replace the FEM simulation model. When the objective function in the study is implicit, its gradient cannot be determined with respect to the decision variables which restrain the use of gradient based optimization methods. In this study differential evolution optimization model is used to minimize the collective drawdown for obtaining an optimal pumping policy for the aquifer system. The ANN and SVM based simulation optimization models result in noteworthy saving of computational time. 112 pp. Englisch.

Codice articolo 9783659925351

Dati bibliografici

• Titolo: Application of Proxy Simulators in Groundwater Simulation Optimization
• Editore: LAP LAMBERT Academic Publishing Jul 2016
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3659925357
• ISBN 13: 9783659925351
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 7 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 7 millimetri di profondità
• Peso: 185 grammi

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Riassunto

Simulation optimization techniques are often used to address many problems of groundwater management. In these techniques an aquifer simulation model is coupled with an optimization algorithm to get the optimal solution. Simulation model normally engages a finite difference, finite element or a mesh free technique. ANN and SVM based proxy simulators are used in this study to replace the FEM simulation model. When the objective function in the study is implicit, its gradient cannot be determined with respect to the decision variables which restrain the use of gradient based optimization methods. In this study differential evolution optimization model is used to minimize the collective drawdown for obtaining an optimal pumping policy for the aquifer system. The ANN and SVM based simulation optimization models result in noteworthy saving of computational time.