Optimization problems arise in all scientifical disciplines which work with unknown parameters, such as economical mathematics, statistics and engineering. For most problems -e.g. characterized by nonlinearity, multimodality etc.- evolutionary algorithms have proved to be promising optimization algorithms. Nevertheless, the performance of the global optimal solution located by optimization methods can be quite dependent on the given boundary conditions and consequently very sensitive to environmental uncertainties so that the off-design performance may deteriorate noticeably. Accounting for robustness against environmental uncertainties and the evolutionary optimization towards an operating range in opposite to an operating point is the focus of this book. The implicit averaging is supposed to be a highly efficient method which randomly varies the operational conditions over generations. The explicit averaging is a rather approved but more computational expensive procedure using additional fitness evaluations per generation. In this book both methods are applied to generated test functions as well as an aerodynamic optimization problem. The latter is combined with meta-modeling.
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Mehdi Nakhjiri studied electrical engineering at the Technical University of Darmstadt. He carried out his Diplom (equivalent to M.Sc.) with a major in automation technology and vehicle technology. Since October 2008 Mr. Nakhjiri is research associate in the Department of Mechanical Engineering at the TU Darmstadt working towards a doctorate.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nakhjiri MehdiMehdi Nakhjiri studied electrical engineering at the Technical University of Darmstadt. He carried out his Diplom (equivalent to M.Sc.) with a major in automation technology and vehicle technology. Since October 2008 . Seller Inventory # 4977324
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Optimization problems arise in all scientifical disciplines which work with unknown parameters, such as economical mathematics, statistics and engineering. For most problems -e.g. characterized by nonlinearity, multimodality etc.- evolutionary algorithms have proved to be promising optimization algorithms. Nevertheless, the performance of the global optimal solution located by optimization methods can be quite dependent on the given boundary conditions and consequently very sensitive to environmental uncertainties so that the off-design performance may deteriorate noticeably. Accounting for robustness against environmental uncertainties and the evolutionary optimization towards an operating range in opposite to an operating point is the focus of this book. The implicit averaging is supposed to be a highly efficient method which randomly varies the operational conditions over generations. The explicit averaging is a rather approved but more computational expensive procedure using additional fitness evaluations per generation. In this book both methods are applied to generated test functions as well as an aerodynamic optimization problem. The latter is combined with meta-modeling. Seller Inventory # 9783639320428
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Taschenbuch. Condition: Neu. Robust Evolutionary Design Optimization for Aerodynamic Applications | Robustness against Environmental Uncertainties and Evolutionary Optimization towards an Operating Range in opposite to an Operating Point | Mehdi Nakhjiri | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639320428 | Verantwortliche Person für die EU: VDM Verlag Dr. Müller, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 107130835
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