(ACDM 2002)

APRIL 16th - 18th, 2002 at the UNIVERSITY OF EXETER, DEVON, UK

Sponsored by the University of the West of England and the UK EPSRC Engineering Network in Adaptive Computing in Design and Manufacture








This fifth evolutionary / adaptive computing in design and manufacture conference is sponsored by the University of the West of England and the UK Engineering and Physical Science Research Council's Engineering Network in Adaptive Computing in Design and Manufacture. The Conference will be held on Exeter University's campus in the South West of England from April 16th-18th, 2002.

As in previous years, the intention of this well-established bi-ennial Conference is to explore the integration of evolutionary / adaptive search, exploration and optimisation and associated Computational Intelligence (CI) technologies (e.g. neural computing, intelligent agent systems, fuzzy logic etc) across a wide spectrum of design and manufacturing activities.

The Conference has always maintained a single stream format of paper presentations complemented by poster sessions. The aim is to promote and support a highly interactive meeting where there is ample opportunity for discussion relating to problem areas concerning both the underlying technologies and the application areas. The Conference generally attracts an international audience of around seventy delegates and provides an opportunity for participants to discover new techniques and concepts whilst discussing and improving existing technologies within an informal and relaxed environment.

Typical application areas have ranged across a broad spectrum, from the design of engineering systems / components through architectural and network design to the design of chemical compounds and food products. In terms of manufacturing, areas of interest have included scheduling and planning, facility layout, supply chain design and robotics. More generic areas relating to multi-objective and constraint satisfaction, support of innovation and creativity and the handling of uncertainty and ill-definition also play a major role. Further information relating to the main areas of interest can be found in the first call.

Springer-Verlag will again be publishing the associated book comprising those papers that have been selected by the Scientific Committee for presentation.



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UK Institution of Electrical Engineers (IEE)

UK Institution of Civil Engineering (ICE)

UK Institution of Mechanical Engineers (IMechE) 

UK Institution of Engineering Designers (IED)

UK Institute of Energy (I Inst E) 

The British Computer Society (BCS)

The International Society of Genetic and Evolutionary Computation (ISGEC)

The European Network of Excellence in Evolutionary Computation (EVONET)






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The Conference will be chaired by Professor Ian Parmee of the University of the West of England, UK and will host the following Keynote Speakers one of which will commence proceedings on each day:

(Click on Speakers names for details of the presentation and a short biography)

Professor Shigeru Obayashi, Tohoku University, Japan

Professor Darrell Whitley, Colorado State University, USA

Dr. Adrian Thompson, University of Sussex, UK


In addition, the ACDM Lecture will be presented on the 17th April by:

Professor Xin Yao, University of Birmingham, UK




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The Conference is served by an excellent Scientific Committee most members of which have been with us since the first event in 1994. All papers are reviewed by at least three members of this Committee.

T. Baeck, ICD, Germany   C. Moore, Cardiff University, UK
G. Bugmann, Uni of Plymouth, UK   J. Morris, University Newcastle, UK
R. Balling, Brigham-Young Uni, USA I. Parmee, UWE, Bristol, UK
E. Burke, Nottingham University, UK   S. Patel, Unilever Research, UK
B. Carse, UWE, Bristol, UK   A. Pipe, UWE, Bristol, UK
C. Coello Coello, CINVESTAV, Mexico   C. Poloni, University of Trieste, Italy
D. Corne, University of Reading, UK   W. Punch, Michigan State Uni, USA
K. De Jong, George Masson Uni, USA   D. Savic, University of Exeter,UK
K. Deb, Indian Inst of Technology, Kanpur   M. Schoenauer, Ecole Polytech, France
T. Fogarty, South Bank University, UK   H-P Schwefel, Uni. of Dortmund, Germany
M. Gen, Ashikaga Inst. of Technology, Japan   E. Semenkin, Siberian Aerospace Academy
J. Gero , University of Sydney, Australia   A. Smith, Auburn University,USA
D. Grierson, University of Waterloo, Canada   P. Sen, University of Newcastle, UK
E. Goodman, Michigan State Uni, USA   G. Smith, University of East Anglia, UK
P. Hajela, Rensselaer Polytech Institute, USA   J. Taylor, Kings College, London, UK
C. Harris, University of Southampton, UK   A. Thompson, Sussex University, UK
C. Hillermeier, Siemens Research, Germany   G. Walters, University of Exeter, UK
P. Husbands, University of Sussex, UK   D. Whitley, Colorado State University, USA
A. Keane, University of Southampton, UK   G. Thierauf, Uni. of Essen, Germany
F. Lohnert, Daimler Benz AG, Germany   X. Yao, University of Birmingham, UK
M. Maher, University of Sydney Australia    A. Zalzala, Heriot-Watt University,UK


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(http://info.ex.ac.uk/univ/howtoexe.htm  for campus maps, transport details etc.)

The Conference will take place in the Streatham Court Lecture Hall in the attractive grounds of Exeter University's Streatham Campus which is within walking distance of the city's historic centre. Exeter is the County Town of Devon on England's South West Peninsula. The region is an area of outstanding beauty with both Dartmoor and Exmoor close at hand and the magnificent north and south coasts which boast some of the finest beaches, coves and estuaries in the UK. The attractive City of Exeter stands on the banks of the River Exe and has a rich historical heritage which we hope to explore during one of the Conference social evenings.

Exeter is linked directly to London, the Midlands, South Wales and the North by the M4/M5 motorway system being around three hours drive from London and a little less from Heathrow airport. Excellent rail links to the major airports are available whilst the South West is also served by regional airports at Plymouth, Exeter and Bristol. National coach services are available from all major cities. More detailed travel information can be found on the University's web site at: http://info.ex.ac.uk/univ/howtoexe.htm.  Maps of the Streatham Campus and surrounding area are also available.

More detailed information on the City of Exeter can be found at http://www.exeter.uk.net

For a general overview of the County of Devon you are recommended to visit the on-line 'Devon Life' magazine at:



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A range of University accommodation has been booked at the following current rates (subject to possible slight annual increase):

Bed & full English Breakfast (Economy-shared facilities)   £21.95
Bed & full English Breakfast (Premium-shared facilities)   £33.25
Bed & full English Breakfast (en-suite)   £44.95
Bed & full English Breakfast (double en-suite)   £69.00

In addition, there are many hotels, Guest Houses and Bed & Breakfast establishments in the City that are reasonably priced and only a short distance from the University.

We are currently compiling a list that will be available on-site in the coming months.

Please request an Accommodation  Booking Form from:


a copy will be emailed to you immediately -  Booking forms with payment must be mailed to:

Prof I. C. Parmee, CEMS, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom

Payment can be made by cheques drawn on a UK bank, or International Money Orders in UK Sterling only,  Cheques / Money Orders must be made payable to "University of the West of England".

Payment may also be made by Visa/Mastercard .


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As in previous years, the intention is to explore the integration of evolutionary / adaptive search, exploration and optimisation and associated Computational Intelligence (CI) technologies (e.g. neural computing, intelligent agent systems, fuzzy logic etc) across a wide spectrum of design and manufacturing activities. Areas of specific interest include but are not restricted to:

Applied, theoretical, results-oriented and speculative papers from both academe and industry will all be considered for inclusion. Application papers must exhibit novel aspects relating to evolutionary / adaptive system design and implementation.


The Call for full papers has now closed - however there is still an opportunity to submit a poster presentation............



Poster submissions must be original and related to the overall subject area
of the Conference. Extended abstracts should be no longer than two pages
(A4) at 10pt Times New Roman typeface. Please include author's names,
addresses (email included) and affiliation. Margins of 15mm should be
maintained all round but overall format is flexible in the first instance.
All preliminary papers should be submitted electronically in postscript or
MS Word format.Accepted posters will receive a layout guide for the
preparation of final
camera-ready papers.

All extended abstracts wil be reviewed and those selected for poster
presentation will be published in the ACDM poster proceedings. Al authors
will have the opportunity to present their posters on the afternoon of the
17th April.

Important dates:

*******EXTENDED TO 8th March ********* Submission of  extended abstract
28th February 2002  onwards                         Notification of acceptance
16th March 2002                               Camera-ready copy required

All submissions to Ian Parmee on:



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Professor Shigeru Obayashi

Institute of Fluid Science, Tohoku University, Japan

Areas of Interest: Computational Fluid Dynamics, Evolutionary Computation, Aerodynamic Design of Aircraft, Multidisciplinary Design Optimization

Academic Degrees:

1982 Bachelor of Science, University of Tsukuba

1984 Master of Engineering, University of Tsukuba

1987 Doctor of Engineering, University of Tokyo

Employment History

1987-89, National Research Council Research Associate, NASA Ames Research Center

1989-94, Senior Researcher, MCAT Institute, NASA Ames Research Center

1994-Present, Associate Professor, Tohoku University (1994-2000, Department of Aeronautics and Space Engineering, 2000-Present, Institute of Fluid Science)




Keynote Presentation:

Pareto Solutions of Multipoint Design of Supersonic Wings Using Evolutionary Algorithms

Multiobjective Evolutionary Algorithms (MOEAs) are getting popular in many fields because they will provide a unique opportunity to address global tradeoffs between multiple objectives by sampling a number of Pareto solutions. One of such applications is the multipoint aerodynamic optimization of a wing shape for a next generation Supersonic Transport (SST) reported by the present author. Four design objectives were considered: Aerodynamic drags were minimized at both supersonic and transonic cruise conditions under lift constraints. Bending and pitching moments were also minimized so as to prevent all the Pareto solutions having impractical designs. In total of 72 design variables were used to specify planform shapes, camber, thickness distributions and twist distributions. The resulting Pareto front was obtained as a three-dimensional surface in the four objective function space. Several solutions were examined in detail in comparison with an existing wing design. The best compromised solution was found in the Pareto solutions.

However, although 776 Pareto solutions were obtained in total, most of solutions were not processed. This is a typical case that computer produces/accumulates too much data. To make a good use of large data, data-mining techniques are needed for Pareto solutions obtained from MOEAs. One of the popular data-mining techniques is the Self-Organizing Map (SOM) by Kohonen. The SOM can serve as a cluster analyzing tool of high-dimensional data. In this paper, the SOM is applied to map the 776 Pareto solutions of the SST wing design. This will reveal the global tradeoffs between four design objectives. Furthermore, from the clusters obtained in the SOM, the relations between design variables are mapped onto another SOM. This will indicate the relative importance of design variables and their interactions.
















Professor Darrell Whitley, Colorado State AI Lab, Colorado State University, USA

Darrell Whitley is a Professor of Computer Science and Director of the Colorado State AI Lab at Colorado State University. His areas of interest are artificial intelligence, genetic algorithms, heuristic search, neural networks and scheduling.

Prof. Whitley serves as Editor-in-Chief for the journal Evolutionary Computation. He also chaired the governing board of the International Society for Genetic Algorithms from 1993 to 1997.


Keynote Presentation:

Testing, Evaluation and Performance of Optimization and Learning Systems.

Benchmarks and test suites are widely used to evaluate optimization and learning systems.    The advantage is that
these test problems provide an objective means of comparing systems.  The potential disadvantage is that systems can become overfitted to work well on benchmarks and therefore that good performance on benchmarks does not generalize to real world problems.   The meaning and significance of benchmarks will be examined in light of theoretical results such as "No Free Lunch" and the "structure" of common benchmarks will also be explored.



Dr. Adrian Thompson, Evolutionary and Adaptive Systems Group, University of Sussex

Adrian Thompson is a member of the Evolutionary & Adaptive Systems Group, University of Sussex, UK. After an initial training in microelectronics, his doctorate was notable / notorious in showing that evolution could produce peculiar electronic systems beyond the scope of conventional design. As an EPSRC `advanced' research fellow, he currently seeks to apply such findings to diverse areas of electronics such as nano-scale circuit design, and more conventional VLSI optimisation. The context of the work is a wider interest in evolutionary theory, physics of computation, reconfigurable computing, neuroscience, computer architecture, and nonlinear dynamics.




Keynote  Presentation:

Notes on Design Through Artificial Evolution: Opportunities and Algorithms
















Registration Fee per delegate     (inclusive of lunches and teas)

Full Registration

Before 15th March 2001 £250.00

After 15th March 2001 £300.00 

Student Registration

(Student registration must be accompanied by a letter of certification from the Supervisor/Head of Department)

Before 15th March 2002 £180.00 

After 15th March 2002 £225.00 


Conference Banquet £ 27.50  (including wine)

(to be held evening of Wednesday, 17th April  at the University of Exeter)



Please request a Registration Form from:


a copy will be emailed to you immediately -  Registration forms with payment must be mailed to:

Prof I. C. Parmee, CEMS, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom

Payment can be made by cheques drawn on a UK bank, or International Money Orders in UK Sterling only,  Cheques / Money Orders must be made payable to "University of the West of England".

Payment may also be made by Visa/Mastercard .








Please note that this is a preliminary program subject to slight changes over the coming weeks.

  Tuesday, 16th April

08.30 – 9.00




I. C. Parmee, UWE & Ad-comtech



Testing, Evaluation and Performance of Optimisation and Learning Systems.

Professor D. Whitley, Colorado State University, USA




Engineering Design 1

Optimisation of Thermal Power Plant Design: A Graph-based Adaptive Search Approach M. T. M. Emmerich,  ICD/CASA, Dortmund, Germany.

Experiences with Hybrid Evolutionary / Local Optimisation for Process Design. E. S. Fraga*, A. Zilinskas**,   *UCL, London; **Vytautus Magnus University, Lithuania.

A Multi-objective Optimisation Approach for the Conceptual Design of Frame Structures. A.Suppapitnarm, G. T. Parks, K. Shea, P. J. Clarkson, University of Cambridge

A Hybrid Search Technique for Inverse Transient Analysis in Water Distribution SystemsZ.  S. Kapelan, D. A. Savic,  G. A. Walters, University of Exeter

Genetic Algorithm Search for Stent Design Improvements K. Tesch, M.A. Atherton, M.W. Collins, South Bank University, UK




Manufacture and Control 1

Fuzzy Classifier System Architectures   A.G. Pipe, B. Carse; University of the West of England

A New Approach to Packing Non-Convex Polygons Using the No Fit Polygon and Meta-Heuristic and Evolutionary Algorithms E. Burke, G. Kendall, University of Nottingham

Evolving Temporal Rules with the Delayed Action Classifier System – Analysis and New Results. B. Carse, A. G. Pipe, University of the West of England, UK

Evolutionary Multi-criteria Optimisation for Improved Design of Optimal Control Systems. S. Kundu*, S. Kawata**,    *Knowledge Solutions Inc, Japan;  **Tokyo Metropolitan University, Japan.




Strategy and Algorithm Development I

Learning from Experience: Case Injected Genetic Algorithm Design of Combinational Logic Circuits S. J. Louis, University of Nevada.

Adapting Problem Specifications and Design Solutions using Co-evolution. M-L. Maher*, A. Gomez de Silva Garza**,      *University of Sydney,  **Instituto Tecnológico Autónomo de México (ITAM)

Optimisation with Fuzzy Clustering Evolution Strategy. J. C. Sullivan, University of the West of England

The Optimisation of Multi-variate Robust Design Criteria. R. A. Bates, H. P. Wynn, University of Warwick







  Wednesday 17th April



Pareto Solutions of Multipoint Design of Supersonic Wings Using Evolutionary Algorithms

S. Obayashi




Multiple Objectives, Preferences and Agent-Support

Full Elite Sets for Multi-objective Optimisation   R. Everson, J. Fieldsend, S. Singh; University of Exeter

Agent-based Support within an Interactive Evolutionary Design System        D. Cvetkovic*, I.C. Parmee** ,   *Soliton Associates, Canada; **University of the West of England / Ad-comtech

Real-time Co-ordinated Scheduling using a Genetic Algorithm     G. Coates, A. H. B. Duffy, R. L. Whitfield, W. Hills, P. Sen; University of Newcastle

A Multi-agent Architecture for Business Process Management Adapts to Unreliable Performance     J. Debenham, University of Technology, Sydney





From Evolutionary Computation to Natural Computation

Professor X. Yao, University of Birmingham


COFFEE, Poster Presentations and Software Demonstrations


ACDMnet Meeting

19.30 for 20.00




  Thursday, 18th April



Notes on Design Through Artificial Evolution: Opportunities and Algorithms

Dr. A. Thompson, University of Sussex




Engineering Design II

The Development of a Grid based Engineering Design Problem Solving Environment. A.D. Scurr and A. J. Keane, University of Southampton

Application of a Multi-objective Evolutionary Algorithm to Topological Optimum Design       H. Hamda, O. Roudenko, M. Schoenauer, INRIA, France.

Better Surface Intersections by Constrained Evolution   C. Robertson, R. B. Fisher, University of Edinburgh

Inverse Identification of Boundary Constants for Electronic Packages using Modified Micro-genetic Algorithm and the Reduced–basis Method   Z. L. Yang*, J. H. Lee**, G. R. Liu*, A. T. Patera**, K. Y. Lam*,    *National University of Singapore;  **MIT, USA;  




Manufacturing and Control II

Neural Computing Approach to Shape Change Estimation in Hot Isostatic Pressing   O. Dengiz*, A. Konak*, S. Kulturel-Konak*, A. E. Smith*, I. Nettleship**,   *Auburn University, USA;  ** University of Pittsburgh, USA.

Adaptive Image Segmentation Based on Visual Interactive Feedback Learning  P. Caleb-Solly, J. Smith, University of the West of England

Multi-criterion Tackling Bottleneck Machines and Exceptional Parts in Cell Formation using Genetic Algorithms. S. A. Mansouri*, S. M. Moattar-Husseini*, S. H. Zegordi**,     *Amirkabir University of Technology, Iran;   **Tarbiat Modarres University, Tehran, Iran




Strategy and Algorithm Development II

Constrained Optimization Using an Evolutionary Programming-based Cultural Algorithm    Carlos A. Coello Coello and Ricardo Landa Becerra, CINVESTAV, Mexico

A Data Mining Tool Using An Intelligent Processing System with a Clustering Application  A. M. S. Zalzala, A. Al-Zain and I. Sarafis, Heriot-Watt University, Edinburgh EH14 4AS, UK


Handling Constraints in Genetic Algorithms using Dominance-based Tournaments  C. A. Coello Coello, E. Mezura Montes, CINVESTAV, Mexico








Poster Presentations - Wednesday, 17th April

Generation of Multi-variate Normally Distributed Data With Double Decorelation Procedure    K Tenekedjiev, N Karakatsanis

In-Core Fuel Management Optimisation of Advanced Gas-cooled  Reactors using Genetic Algorithms and Artificial Neural Networks        A. K. Ziver, C. C. Pain, J. N. Carter, C. R. E. de Oliveira, A. J. H. Goddard, R. S. Overton

Towards the Use of XCS in Interactive Evolutionary Design  L. Bull, D. Wyatt & I. Parmee
Dynamic System Identification using Artificial Neural Network    H. B. Bahar
Investigating the Optimisation of Aesthetics     M. Lefley,  B. Eves,  W. Griffith

A hybrid approach using Photoelasticity, Finite Element Analysis and an Artificial Neural Network in Mechanical Engineering    R. Amali, S. Noroozi, J. Vinney

A Comparison of Memetic Algorithms and Other Metaheuristic Hybrids for Reliability Optimization Problem    F. Altiparmak,  B. Dengiz, A. E. Smith

Design-for-Test Optimisation using Wafer In-Fab Processing  A. M. S. Zalzala, E. Miguelanez
Instruction-based Learning for Mobile Robots    G. Bugmann, S. Lauria, T. Kyriacou, J. Bos, E. Klein.





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