Adaptive Computing in Design and Manufacture

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 DiscreteModels 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.