Emergent Computing Methods in Engineering Design
Applications of Genetic Algorithms and Neural Networks
(Sprache: Englisch)
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...
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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. Otherpapers 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.
Inhaltsverzeichnis zu „Emergent Computing Methods in Engineering Design “
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.
Bibliographische Angaben
- 1996, 356 Seiten, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Ed. by Donald E. Grierson and Prabhat Hajela
- Herausgegeben: P. Hajela, D. E. Grierson
- Verlag: Springer
- ISBN-10: 3540608737
- ISBN-13: 9783540608738
- Erscheinungsdatum: 18.06.1996
Sprache:
Englisch
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