Adaptive Computing in Design and Manufacture V

1. Front Matter

   Pages I-XI

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2. Plenary Papers

   1. Front Matter

      Pages 1-1

      PDF

   2. Pareto Solutions of Multipoint Design of Supersonic Wings Using Evolutionary Algorithms

      • Shigeru Obayashi

      Pages 3-15

   3. Notes on Design Through Artificial Evolution: Opportunities and Algorithms

      • Adrian Thompson

      Pages 17-26

   4. Testing, Evaluation and Performance of Optimization and Learning Systems

      • D. Whitley, J. P. Watson, A. Howe, L. Barbulescu

      Pages 27-39

   5. From Evolutionary Computation to Natural Computation

      • Xin Yao

      Pages 41-50

3. Engineering Design Applications

   1. Front Matter

      Pages 51-51

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   2. Experience with Hybrid Evolutionary/local Optimization for Process Design

      • E. S. Fraga, A. Žilinskas

      Pages 53-64

   3. The Development of a Grid-based Engineering Design Problem Solving Environment.

      • A. D. Scurr, A. J. Keane

      Pages 65-73

   4. A Hybrid Search Technique for Inverse Transient Analysis in Water Distribution Systems

      • Zoran S. Kapelan, Dragan A. Savic, Godfrey A. Walters

      Pages 75-86

   5. Optimisation of Thermal Power Plant Designs: A Graph-based Adaptive Search Approach

      • Michael T. M. Emmerich

      Pages 87-98

   6. Genetic Algorithm Search for Stent Design Improvements

      • K. Tesch, M. A. Atherton, M. W. Collins

      Pages 99-107

   7. A Multiobjective Optimisation Approach for the Conceptual Design of Frame Structures

      • A. Suppapitnarm, G. T. Parks, K. Shea, P. J. Clarkson

      Pages 109-120

   8. Multi-Objective Evolutionary Topological Optimum Design

      • Hatem Hamda, Olga Roudenko, Marc Schoenauer

      Pages 121-132

   9. Better Surface Intersections by Constrained Evolution

      • C. Robertson, R. B. Fisher

      Pages 133-142

   10. Inverse Identification of Boundary Constants for Electronic Packages Using Modified Micro Genetic Algorithm and Reduced-basis Method

       • Z. L. Yang, J. H. Lee, G. R. Liu, A. T. Patera, K. Y. Lam

       Pages 143-156

   11. Extrinsic Evolution of Finite State Machine

       • A. Belgasem, T. Kalganova, A. E. A. Almaini

       Pages 157-168

4. Manufacturing Processes

   1. Front Matter

      Pages 169-169

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   2. Neural Computing Approach to Shape Change Estimation in Hot Isostatic Pressing

      • Orhan Dengiz, Abdullah Konak, Sadan Kulturel-Konak, Alice E. Smith, Ian Nettleship

      Pages 171-180

   3. Multi-criterion Tackling Bottleneck Machines and Exceptional Parts in Cell Formation Using Genetic Algorithms

      • S. A. Mansouri, S. M. Moattar-Husseini, S. H. Zegordi

      Pages 181-192

The Adaptive Computing in Design and Manufacture Conference series is now in its tenth year and has become a well-established, application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing. The main theme of the conference again relates to the integration of evolutionary and adaptive computing technologies with design and manufacturing processes whilst also taking into account complementary advanced computing technologies. Evolutionary and adaptive computing techniques continue to increase their penetration of industrial and commercial practice as their powerful search, exploration and optimisation capabilities become ever more apparent. The last two years have seen a very significant increase in the development of commercial software tools utilising adaptive computing technologies and the emergence of related commercial research and consultancy organisations supporting the introduction of best practice in terms of industrial utilisation. Adaptive Computing in Design and Manufacture V is comprised of selected papers that cover a diverse set of industrial application areas including: engineering design and design environments, manufacturing process design, scheduling and control, electronic circuit design, fault detection. Various aspects of search and optimisation such as multi-objective and constrained optimisation are also investigated in the context of integration with industrial processes. In addition to evolutionary computing techniques, both neural-net and agent-based technologies play a role in a number of contributions. This collection of papers will be of particular interest to both industrial researchers and practitioners in addition to the academic research communities of engineering, operational research and computer science.

• Analysis
• Performance
• algorithms
• architecture
• circuit design
• computer
• computer science
• computer-aided design (CAD)
• engineering design
• evolutionary algorithm
• logic
• optimization
• programming

• CEMS University of the West of England, Frenchay Campus, Bristol, UK

  I. C. Parmee

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