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Adaptive Computing in Design and Manufacture V

  • I. C. Parmee

Table of contents

  1. Front Matter
    Pages I-XI
  2. Plenary Papers

  3. Engineering Design Applications

    1. Front Matter
      Pages 51-51
    2. Zoran S. Kapelan, Dragan A. Savic, Godfrey A. Walters
      Pages 75-86
    3. K. Tesch, M. A. Atherton, M. W. Collins
      Pages 99-107
    4. A. Suppapitnarm, G. T. Parks, K. Shea, P. J. Clarkson
      Pages 109-120
    5. Hatem Hamda, Olga Roudenko, Marc Schoenauer
      Pages 121-132
    6. C. Robertson, R. B. Fisher
      Pages 133-142
    7. A. Belgasem, T. Kalganova, A. E. A. Almaini
      Pages 157-168
  4. Manufacturing Processes

    1. Front Matter
      Pages 169-169
    2. Orhan Dengiz, Abdullah Konak, Sadan Kulturel-Konak, Alice E. Smith, Ian Nettleship
      Pages 171-180
  5. System/Process Control

  6. Strategy/Algorithm Development

  7. Multiple Objectives, Preferences and Agent-Support

    1. Front Matter
      Pages 341-341
    2. Richard M. Everson, Jonathan E. Fieldsend, Sameer Singh
      Pages 343-354
    3. G. Coates, A. H. B. Duffy, R. I. Whitfield, W. Hills, P. Sen
      Pages 381-392
  8. Back Matter
    Pages 393-393

About these proceedings

Introduction

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.

Keywords

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

Editors and affiliations

  • I. C. Parmee
    • 1
  1. 1.CEMS University of the West of England, Frenchay CampusBristolUK

Bibliographic information

Industry Sectors
Automotive
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Aerospace
Engineering