Adaptive Computing in Design and Manufacture VI

  • I. C. Parmee

Table of contents

  1. Front Matter
    Pages i-xi
  2. Plenary Papers

    1. Front Matter
      Pages 1-1
    2. I. F. C. Smith
      Pages 13-21
  3. Engineering Design Applications

  4. Manufacturing Processes

    1. Front Matter
      Pages 111-111
    2. Carlos A. Coello Coello, Daniel Cortés Rivera, Nareli Cruz Cortés
      Pages 113-124
    3. M. K. A. Mohd Ariffin, N. D. Sims, K. Worden
      Pages 125-135
    4. Emilio Miguelañez, Ali M S Zalzala, Paul Tabor
      Pages 137-148
    5. W. Rojas, M. Solar, M. Chacón, J. Ferland
      Pages 173-183
    6. Vecihi Yigit, M. Emin Aydin, Orhan Turkbey
      Pages 185-194
  5. Interactive Evolutionary Design and Manufacture

  6. Evolutionary Multi-objective and Constraint Satisfaction

  7. Control and Robotics

    1. Front Matter
      Pages 307-307
    2. Antony Waldock, Brian Carse, Chris Melhuish
      Pages 309-320
  8. Algorithm Development

    1. Front Matter
      Pages 333-333
    2. Vitaliy Feoktistov, Stefan Janaqi
      Pages 335-346
    3. Bruno Pinaud, Pascale Kuntz, RØmi Lehn
      Pages 365-375
    4. F. Alfares, M. Alfares, I. I. Esat
      Pages 377-389
  9. Back Matter
    Pages 391-391

About these proceedings


The Adaptive Computing in Design and Manufacture conference series has become a well-established, largely application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing. The main theme of the series 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 awareness of their powerful search, exploration and optimisation capabilities becomes ever more prevalent, and increasing desk-top computational capability renders stochastic population-based search a far more viable proposition. There has been a significant increase in the development and integration 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. The book is comprised of selected papers that cover a diverse set of industrial application areas including engineering design and design environments and manufacturing process design, scheduling and control. Various aspects of search, exploration and optimisation are investigated in the context of integration with industrial processes including multi-objective and constraint satisfaction, development and utilization of meta-models, algorithm and strategy development and human-centric evolutionary approaches. The role of agent-based and neural net technologies in terms of supporting search processes and providing an alternative simulation environment is also explored. This collection of papers will be of particular interest to both industrial researchers and practitioners in addition to the academic research communities across engineering, operational research and computer science.


Adaptive Computing Constraint Satisfaction Evolutionary computation Performance Service-oriented Computing Simulation civil engineering computational intelligence design engineering design evolutionary algorithm genetic programming machine learning manufacturing organization

Editors and affiliations

  • I. C. Parmee
    • 1
  1. 1.CEMSUniversity of the West of EnglandBristolUK

Bibliographic information

Industry Sectors
Chemical Manufacturing
IT & Software
Oil, Gas & Geosciences