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

The third evolutionary I adaptive computing conference organised by the Plymouth Engineering Design Centre (PEDC) at the University of Plymouth again explores the utility of various adaptive search algorithms and complementary computational intelligence techniques within the engineering design and m...

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Bibliographic Details
Other Authors: Parmee, Ian C. (Editor)
Format: eBook
Language:English
Published: London Springer London 1998, 1998
Edition:1st ed. 1998
Subjects:
Applied Dynamical Systems
Engineering Design
Machines, Tools, Processes
Algorithms
Manufactures
Nonlinear Theories
Dynamics
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 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

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