Emergent computing methods in engineering design : applications of genetic algorithms and neural networks
著者
書誌事項
Emergent computing methods in engineering design : applications of genetic algorithms and neural networks
(NATO ASI series, ser. F . Computer and systems sciences ; v. 149)
Springer, c1996
大学図書館所蔵 件 / 全26件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
"Published in cooperation with NATO Scientific Affairs Division."
"Proceedings of the NATO Advanced Research Workshop on Emergent Computing Methods in Engineering Design, held in Nafplio, Greece, August 25-27, 1994"--T.p. verso
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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.
「Nielsen BookData」 より