WELCOME TO THE HOME PAGE OF THE FIFTH INTERNATIONAL CONFERENCE ON
ADAPTIVE COMPUTING IN DESIGN AND MANUFACTURE
(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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CALLS FOR PAPERS/POSTERS
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:
the development and integration of appropriate evolutionary and adaptive computing strategies with conceptual, embodiment and detailed design.
novel application of appropriate evolutionary / adaptive computing strategies to or integration with complex manufacturing systems
scheduling and planning; facility layout; supply chain design and management; optimisation of organisational structure
co-operative frameworks supporting the utilisation of evolutionary /adaptive search and other CI technologies within a design / manufacturing environment.
the application of novel adaptive computing techniques and strategies that address specific design / analysis problems of high complexity.
evolutionary and adaptive strategies for component modelling and systems identification.
design search and exploration; human-centred aspects and interactive evolutionary decision-support systems.
modelling of and searching across, uncertain / poorly-defined decision-making environments.
multi-objective satisfaction and optimisation.
search and optimisation within heavily constrained domains.
web-based evolutionary tools for design and manufacture - accessibility and utility.
provision of multi-disciplinary search and optimisation requirements within distributed Problem Solving Environments (PSEs).
reducing computational expense during detailed design and analysis.
best practice re integration with high-performance computing, parallel architectures etc
supporting innovative and creative design .
development and integration of aesthetic fitness measures.
data mining; the identification of optimal design information; appropriate presentation of data generated from evolutionary search, exploration and optimisation.
evolvable hardware design.
evolutionary and adaptive computing in manufacturing robotics.
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............
SUBMISSION OF POSTERS
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:
iparmee@ad-comtech.co.uk
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Institute of Fluid Science, Tohoku University, Japan
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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.
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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 |
|
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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
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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)
Payment
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 .
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Please note that this is a preliminary program subject to slight changes over the coming weeks. |
| Tuesday, 16th April | |
|
08.30 – 9.00 |
TEA /COFFEE |
|
09.00 |
WELCOME I. C. Parmee, UWE & Ad-comtech |
|
09.15 |
KEYNOTE PRESENTATION I Testing, Evaluation and Performance of Optimisation and Learning Systems. Professor D. Whitley, Colorado State University, USA |
|
10.15 |
TEA / COFFEE |
|
10.45 |
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 Systems. Z. 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 |
|
12.50 |
BUFFET LUNCH |
|
14.00 |
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. |
|
15.40 |
COFFEE |
|
16.00 |
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 |
|
17.40 |
CLOSE |
|
19:00 |
CIVIC RECEPTION |
| Wednesday 17th April | |
|
09.15 |
KEYNOTE PRESENTATION II Pareto Solutions of Multipoint Design of Supersonic Wings Using Evolutionary Algorithms S. Obayashi |
|
10.15 |
TEA / COFFEE |
|
10.45 |
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 |
|
12.25 |
REFECTORY LUNCH |
|
14.00 |
ACDM LECTURE From Evolutionary Computation to Natural Computation Professor X. Yao, University of Birmingham |
| 15.00 |
COFFEE, Poster Presentations and Software Demonstrations |
|
16.30 |
ACDMnet Meeting |
|
19.30 for 20.00 |
CONFERENCE BANQUET |
| Thursday, 18th April | |
|
09.00 |
KEYNOTE PRESENTATION III Notes on Design
Through Artificial Evolution: Opportunities and Algorithms Dr. A. Thompson, University of Sussex |
|
10.00 |
TEA / COFFEE |
|
10.20 |
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; |
|
12.00 |
BUFFET LUNCH |
|
13:00 |
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 |
|
14.15 |
TEA / COFFEE |
|
14.45 |
Strategy and Algorithm Development II Constrained Optimization Using an Evolutionary Programming-based Cultural Algorithm Carlos A. Coello Coello and Ricardo Landa Becerra, CINVESTAV, MexicoA 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
|
|
16.00 |
CONFERENCE CLOSE |
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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 |
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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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