This volume provides an up-to-date overview of major advances, emerging trends, and projected industrial applications in the field of multidisciplinary optimization. It concentrates on the current status of the field, exposes commonalities, innovative, promising, and speculative methods. This book provides a view of today's multidisciplinary optimization environment through a balenced theoretical and practical treatment. The contributors are the foremost authorities in each area of specialisation.
This volume provides an up-to-date overview of major advances, emerging trends, and projected industrial applications in the field of multidisciplinary optimization. It concentrates on the current status of the field, exposes commonalities, innovative, promising, and speculative methods. This book provides a view of today's multidisciplinary optimization environment through a balenced theoretical and practical treatment. The contributors are the foremost authorities in each area of specialisation.
Produktdetails
Produktdetails
CISM International Centre for Mechanical Sciences 425
Artikelnr. des Verlages: 10848086, 978-3-211-83335-3
2001
Seitenzahl: 348
Erscheinungstermin: 19. Juni 2001
Englisch
Abmessung: 244mm x 170mm x 19mm
Gewicht: 580g
ISBN-13: 9783211833353
ISBN-10: 3211833358
Artikelnr.: 27616690
Inhaltsangabe
Multidisciplinary Optimization Procedure in Design Processes: Basic Ideas, Aims, Scope, Concepts (H. A. Eschenauer); Old and New Non-Gradient Methods in Engineering Optimization (J. Blachut); Optimal Engineering Design by Means of Stochastic Optimization Methods (K. Marti); Response Surface Approximations for Engineering Optimization (A. J. G. Schoofs, J. J. M. Rijpkema); Modelling and Approximation Strategies in Optimization: Global and Mid-Range Approximations, Response Surface Methods, Genetic Programming, Low / High Fidelity Models (V. V. Toropov); Strategies for Modeling, Approximation, and Decomposition in Genetic Algorithms Based Multidisciplinary Design (P. Hajela)
Multidisciplinary Optimization Procedure in Design Processes: Basic Ideas, Aims, Scope, Concepts (H. A. Eschenauer); Old and New Non-Gradient Methods in Engineering Optimization (J. Blachut); Optimal Engineering Design by Means of Stochastic Optimization Methods (K. Marti); Response Surface Approximations for Engineering Optimization (A. J. G. Schoofs, J. J. M. Rijpkema); Modelling and Approximation Strategies in Optimization: Global and Mid-Range Approximations, Response Surface Methods, Genetic Programming, Low / High Fidelity Models (V. V. Toropov); Strategies for Modeling, Approximation, and Decomposition in Genetic Algorithms Based Multidisciplinary Design (P. Hajela)
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