Evolutionary Design and Manufacture: Selected Papers from ACDM ’00
Editat de I.C. Parmeeen Limba Engleză Paperback – 12 apr 2000
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Specificații
ISBN-13: 9781852333003
ISBN-10: 1852333006
Pagini: 384
Ilustrații: XII, 372 p. 107 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.57 kg
Ediția:Softcover reprint of the original 1st ed. 2000
Editura: SPRINGER LONDON
Colecția Springer
Locul publicării:London, United Kingdom
ISBN-10: 1852333006
Pagini: 384
Ilustrații: XII, 372 p. 107 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.57 kg
Ediția:Softcover reprint of the original 1st ed. 2000
Editura: SPRINGER LONDON
Colecția Springer
Locul publicării:London, United Kingdom
Public țintă
Professional/practitionerCuprins
1. Engineering Design Applications.- 1.1 Optimisation of Power Plant Design: Stochastic and Adaptive Solution Concepts.- 1.2 Intelligent Searcher for the Configuration of Power Transmission Shafts in Gearboxes.- 1.3 Post-Processing of the Two-dimensional Evolutionary Structural Optimisation Topologies.- 1.4 Optimisation of a Stator Blade Used in a Transonic Compressor Cascade with Evolution Strategies.- 1.5 Mixed-integer Evolution Strategy for Chemical Plant Optimization with Simulators.- 1.6 Advantages in Using a Stock Spring Selection Tool that Manages the Uncertainty of the Designer Requirements.- 2. General Design Applications.- 2.1 Designing Food with Bayesian Belief Networks.- 2.2 Flexible Ligand Docking Using a Robust Evolutionary Algorithm.- 2.3 Network Design Techniques Using Adapted Genetic Algorithms.- 3. Design Representation Issues.- 3.1 Adaptive Techniques for Evolutionary Topological Optimum Design.- 3.2 Representation in Architectural Design Tools.- 3.3 Fitting of Constrained Feature Models to Poor 3D Data.- 3.4 Exploring Component-based Representations — The Secret of Creativity by Evolution?.- 4. Manufacturing Applications.- 4.1 Evolutionary Design of Facilities Considering Production Uncertainty.- 4.2 A Fuzzy Clustering Evolution Strategy and its Application to Optimisation of Robot Manipulator Movement.- 4.3 An Industry-based Development of the Learning Classifier System Technique.- 4.4 A Genetic Programming-based Hierarchical Clustering Procedure for the Solution of the Cell-formation Problem.- 5. Multi-objective Satisfaction.- 5.1 Multi-objective Evolutionary Optimization: Past, Present and Future.- 5.2 City Planning with a Multiobjective Genetic Algorithm and a Pareto Set Scanner.- 5.3 Designer’s Preferences and Multi-objective PreliminaryDesign Processes.- 6. Algorithm Comparison and Development.- 6.1 Improving the Robustness of COGA: The Dynamic Adaptive Filter.- 6.2 Efficient Evolutionary Algorithms for Searching Robust Solutions.- 6.3 A Comparison of Semi-deterministic and Stochastic Search Techniques.- 6.4 A Multi-population Approach to Dynamic Optimization Problems.- 6.5 Short Term Memory in Genetic Programming.- 7. Neural Nets and Hybrid Systems.- 7.1 Application of Bayesian Neural Networks to Non-linear Function Modelling for Powder Metals.- 7.2 Development of an Iterative Neural Network and Genetic Algorithm Procedure for Shipyard Scheduling.- 7.3 Adaptive Radial Basis Function Emulators for Robust Design.- 7.4 An Evolutionary Neural Network Controller for Intelligent Active Force Control.- 7.5 Quality Inspection of Veneer Using Soft-computing Methods.- Author Index.
Caracteristici
Transmits the information presented at one of the Design discipline's major conferences to a wider audience Content is highly topical and may be considered state-of-the-art Covers computer applications in both design and manufacturing