Bionic Optimization in Structural Design : Stochastically Based Methods to Improve the Performance of Parts and Assemblies - encuadernado, tapa blanda
2015, ISBN: 3662465957
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Bionic Optimization in Structural Design Stochastically Based Methods to Improve the Performance of Parts and Assemblies - encuadernado, tapa blanda
2015, ISBN: 3662465957
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2015, ISBN: 9783662465950
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Bionic optimization in structural design. stochastically based methods to improve the performance of parts and assemblies. - encuadernado, tapa blanda
2016, ISBN: 3662465957
[EAN: 9783662465950], [PU: Berlin/Heidelberg, Springer.], MASCHINENBAU, 25 cm. xii, 160 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, da… Más…
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Bionic Optimization in Structural Design : Stochastically Based Methods to Improve the Performance of Parts and Assemblies - encuadernado, tapa blanda
2015, ISBN: 3662465957
[EAN: 9783662465950], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], BAU / ENTWURF, KONSTRUKTION; MODELLIEREN (ALLGEMEIN) - MODELLIERUNG; BIONICCAE-PROCESSES,; DETERMINISTICADIENTM… Más…
2015, ISBN: 9783662465950
Pasta dura
Springer, Gebundene Ausgabe, Auflage: 1st ed. 2016, 172 Seiten, Publiziert: 2015-11-20T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 97 black & white illustrations, 6 colour, 8.49 kg, V… Más…
Bionic Optimization in Structural Design Stochastically Based Methods to Improve the Performance of Parts and Assemblies - encuadernado, tapa blanda
2015
ISBN: 3662465957
1st ed. 2016 Gebundene Ausgabe Bau / Entwurf, Konstruktion, Modellieren (allgemein) - Modellierung, Computermodellierung und -simulation, Künstliche Intelligenz, BionicCAE-processes,; D… Más…
Bionic Optimization in Structural Design Stochastically Based Methods to Improve the Performance of Parts and Assemblies 1st ed. 2016 - libro usado
2015, ISBN: 9783662465950
1st ed. 2016 Gepflegter, sauberer Zustand. 25342776/12 Versandkostenfreie Lieferung Optimization in Metal Forming,Structural Optimization,Particle Swarm Optimization,Neural Nets,Virtual P… Más…
Bionic optimization in structural design. stochastically based methods to improve the performance of parts and assemblies. - encuadernado, tapa blanda
2016, ISBN: 3662465957
[EAN: 9783662465950], [PU: Berlin/Heidelberg, Springer.], MASCHINENBAU, 25 cm. xii, 160 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, da… Más…
Datos bibliográficos del mejor libro coincidente
Detalles del libro - Bionic Optimization in Structural Design: Stochastically Based Methods to Improve the Performance of Parts and Assemblies
EAN (ISBN-13): 9783662465950
ISBN (ISBN-10): 3662465957
Tapa dura
Tapa blanda
Año de publicación: 1
Editorial: Steinbuch, Rolf, Gekeler, Simon, Springer
Libro en la base de datos desde 2015-06-18T09:59:47-05:00 (Mexico City)
Página de detalles modificada por última vez el 2024-01-10T03:51:26-06:00 (Mexico City)
ISBN/EAN: 3662465957
ISBN - escritura alterna:
3-662-46595-7, 978-3-662-46595-0
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: rolf steinbuch, simon
Título del libro: bion, optimization methods structural design, design the
Datos del la editorial
Autor: Rolf Steinbuch; Simon Gekeler
Título: Bionic Optimization in Structural Design - Stochastically Based Methods to Improve the Performance of Parts and Assemblies
Editorial: Springer; Springer Berlin
160 Páginas
Año de publicación: 2015-11-20
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XII, 160 p. 103 illus., 6 illus. in color.
BB; Hardcover, Softcover / Technik/Maschinenbau, Fertigungstechnik; Konstruktion, Entwurf; Verstehen; Ingenieurwissenschaften; Bionic Optimization; CAE-processes, Deterministic Optimization Gradient methods; Evolutionary Approaches; Evolutionary Optimization; Gradient Methods; Neural Nets; Optimization; Optimization in Metal Forming; Particle Swarm Optimization; Simulation; Structural Optimization; Tuned Mass Dampers; Virtual Product Development; Engineering Design; Computer Modelling; Computational Intelligence; Computermodellierung und -simulation; Künstliche Intelligenz; EA; BC
The book provides suggestions on how to start using bionic optimization methods, including pseudo-code examples of each of the important approaches and outlines of how to improve them. The most efficient methods for accelerating the studies are discussed. These include the selection of size and generations of a study’s parameters, modification of these driving parameters, switching to gradient methods when approaching local maxima, and the use of parallel working hardware.Bionic Optimization means finding the best solution to a problem using methods found in nature. As Evolutionary Strategies and Particle Swarm Optimization seem to be the most important methods for structural optimization, we primarily focus on them. Other methods such as neural nets or ant colonies are more suited to control or process studies, so their basic ideas are outlined in order to motivate readers to start using them.A set of sample applications shows how Bionic Optimization works in practice. From academic studies on simple frames made of rods to earthquake-resistant buildings, readers follow the lessons learned, difficulties encountered and effective strategies for overcoming them. For the problem of tuned mass dampers, which play an important role in dynamic control, changing the goal and restrictions paves the way for Multi-Objective-Optimization. As most structural designers today use commercial software such as FE-Codes or CAE systems with integrated simulation modules, ways of integrating Bionic Optimization into these software packages are outlined and examples of typical systems and typical optimization approaches are presented.The closing section focuses on an overview and outlook on reliable and robust as well as on Multi-Objective-Optimization, including discussions of current and upcoming research topics in the field concerning a unified theory for handling stochastic design processes.Focus on the optimization of high-dimensional problems Easily applicable by pseudo-code examples Practical implementation and application Includes supplementary material: sn.pub/extras
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