Emergent Computing Methods in Engineering Design (Hardcover)

D.E. Grierson

ISBN 10: 3540608737 / ISBN 13: 9783540608738

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1996

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Hardcover. This volume presents a collection of papers addressing aspects of the application of emergent computing paradigms in engineering design. Papers on genetic algorithms and evolutionary computing discuss proposed improvements to computing methodology as well as applications in engineering design. Papers on neural networks study theoretical issues of interpretation as well as their potential use as approximation tools in design and their applications in embedded and fuzzy control systems. Other papers deal with such topics as the combined use of genetic algorithms and neural networks, applications of the simulated annealing approach, problem decomposition techniques, and computer recognition and interpretation of objects. The book shows the tremendous potential of emergent methods in engineering design. The papers in this book show the potential of emerging computer paradigms such as genetic algorithms, evolutionary computing, and neural networks for solving problems in engineering design. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Codice articolo 9783540608738

Dati bibliografici

• Titolo: Emergent Computing Methods in Engineering Design (Hardcover)
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Data di pubblicazione: 1996
• Lingua: Inglese
• ISBN 10: 3540608737
• ISBN 13: 9783540608738
• Rilegatura: Hardcover
• Condizione: new

Descrizione articolo

Riassunto

The papers in this book show the tremendous potential of emerging computing paradigms such as genetic algorithms, evolutionary computing, and neural networks for solving problems of engineering design.

Contenuti

Local Ecological-Like Evolutionary Computing Framework for Global Robustness.- Genetic Algorithms for the Design of Composite Panels.- A Genetic Algorithm for Structural Design Optimization.- Genetic Algorithms in Optimal Design of Civil Engineering Structures.- Genetic Search Based Hybrid Multimodal Optimization.- The Development of Generic Adaptive Search Tools for Engineering Design.- Evolution Strategy, its Parallelization and Application to Discrete Optimization Problems.- Some Results in Optimal Structural Damping Using a Genetic Algorithm.- Neural Networks for Embedded Control Designs Applied to the “Smarter Car”.- Conceptual Design Using Emergent Computing Techniques.- Role of Emergent Computing Techniques in Multidisciplinary Rotor Blade Design.- Salience Analysis of Mapping Samples for Multilayer Feedforward Networks.- Fuzzy Neural Networks for Control Design.- Efficient Neural Network Techniques for Discrete Optimization Problems.- Neural Network Based Extrapolation Strategies in Structural Analysis and Design.- Neural Networks for Learning and Optimization.- Application of the Simulated Annealing Algorithm to Structural Design.- Structured Multiresolution Neural Networks for Effective Processing of Signals.- The Graph Bi-Partitioning Problem: A Comparison of Search Methods.- A Unified Methodology for Model Synthesis and Recognition of 3-D Objects.- Summary of the Roundtable Discussion.