Adaptive Computing in Design and Manufacture: The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Reali

ISBN-13: 9783540762546 / Angielski / Miękka / 1998 / 365 str.

Ian Parmee; I. Parmee; Ian C. Parmee

Opis

This volume of proceedings presents contributions from leading experts and researchers in the field of the development and application of evolutionary and adaptive computing techniques within the design and manufacture domain.

Spis treści

1. Design Issues.- 1.1 Adaptive Systems in Designing: New Analogies from Genetics and Developmental Biology.- 1.2 Emergent Computational Models in Structural Analysis and Design.- 1.3 Exploring the Design Potential of Evolutionary/Adaptive Search and Other Computational Intelligence Technologies.- 2. Adaptive Computing in Manufacture.- 2.1 Tackling Complex Job Shop Problems using Operation Based Scheduling.- 2.2 Minimising Job Tardiness: Priority Rules vs. Adaptive Scheduling.- 2.3 Evolutionary Computation Approaches to Cell Optimisation.- 2.4 A Temperature Predicting Model for Manufacturing Processes Requiring Coiling.- 2.5 Solving Multi-objective Transportation Problems by Spanning Tree-based Genetic Algorithm.- 3. Generic Issues: Model Representation, Multiobjectives and Constraint Handling.- 3.1 Optimisation for Multilevel problems: A Comparison of Various Algorithms.- 3.2 Evaluation of Injection Island GA Performance on Flywheel Design Optimization.- 3.3 Evolutionary Mesh Numbering: Preliminary Results.- 3.4 Two New Approaches to Multiobjective Optimization Using Genetic Algorithms.- 3.5 Mapping Based Constraint Handling for Evolutionary Search; Thurston’s Circle Packing and Grid Generation.- 4. Structured Representations.- 4.1 Evolutionary Design of Analog Electrical Circuits using Genetic Programming.- 4.2 Improving Engineering Design Models using an Alternative Genetic Programming Approach.- 4.3 From Mondrian to Frank Lloyd Wright: Transforming Evolving Representations.- 4.4 A Comparison of Evolutionary-Based Strategies for Mixed Discrete Multilevel Design Problems.- 5. Aerospace Applications.- 5.1 Design Optimisation of a Simple 2-D Aerofoil Using Stochastic Search Methods.- 5.2 Adaptive Strategy Based on the Genetic Algorithm and a Sequence of Discrete Models in Aircraft Structural Optimization.- 5.3 Multi-objective Optimisation and Preliminary Airframe Design.- 5.4 Evolving Robust Strategies for Autonomous Flight: A Challenge to Optimal Control Theory.- 6. Other Applications.- 6.1 Performance of Genetic Algorithms for Optimisation of Frame Structures.- 6.2 Global Optimisation in Optical Coating Design.- 6.3 Evolutionary Algorithms for the Design of Stack Filters Specified using Selection Probabilities.- 6.4 Drawing Graphs with Evolutionary Algorithms.- 6.5 Benchmarking of Different Modifications of the Cascade Correlation Algorithm.- 6.6 Determination of Gas Temperature in a CVD Reactor From Optical Emission Spectra with the Help of Artificial Neural Networks and Group Method of Data Handling (GMDH).- 6.7 Multi-Domain Optimisation using Computer Experiments for Concurrent Engineering.