Genetic algorithms for beginnersGenetic algorithms for beginners |
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WORKSHOP "
GENETIC ALGORITHMS FOR BEGINNERS",
16-th September 2007 .
Registered participants: Austria (1), Bulgaria (1), Croatia (3), Czech Republic (3), France (3), Germany (3), India (5), Italy (2), New Zealand (1), Poland (13), Russian Federation (2), Slovenia (1), South Korea (6), Spain (1), Sweden (1), Switzerland (1), Taiwan (3), Turkey (2), Ukraine (1), United Kingdom (5), USA (1).
The genetic algorithms can be applied for solving the global optimisation tasks. These methods mimick the evolution of plants and animals. The one-day workshop called " Genetic algorithms for beginners", is intended to:
- provide a basic course of genetic methods of global optimisation to those who are not yet familiar with them and to those who wish to systematise or extend their basic knowledge,
- promote such methods among materials scientists.
The lectures will be given on 16-th September 2007, mainly by materials scientists, physicists, chemists and crystallographers (typically: Symposium-G lecturers) who already have implemented such computational methods within their own fields.
The proposed topics:
- explanation of basic ideas & concepts of construction and
writing of genetic algorithms
- design and implementation of genetic algorithms,
- variables: discrete or continuous?
- coding methods
- parameter values: universal or problem specific?
- convergence criteria
- genetic operators (mutation, selection, crossover...)
- advantages of combined methods (hybrid methods, joining with
neural
networks, etc...)
- multiobjective methods
- parallel computation
- ready to use software (in particular - to be presented by the
software authors, suppliers or users)
- real implementation of GA using an open source software
- materials scientist's view on the genetic approach
A part of lectures will be directed to presentation of simple instructive examples of application in materials science (catalysis, clusters, proteins...) in order to show the simplicity and power of the genetic approach (for subjects see the lectures list).
Programme Committee:
Chairmen: Wojciech Paszkowicz (Warsaw, Poland), Kenneth D.M. Harris (Cardiff, Wales, UK)
Members: Nirupam Chakraborti ( Kharagpur, India), Pierre Collet (Calais, France) , Roy L. Johnston (Birmingham, UK)
Workshop lecturers:
1. Manfred Baerns, Dept. of Inorganic Chemistry, Fritz-Haber-Institute of Max-Planck-Gesellschaft, Berlin (Dahlem), Germany
2. Nirupam Chakraborti, Dept. of Metallurgical & Materials Engineering, Indian Institute of Technology, Kharagpur, India
3. Pierre Collet, (1) Laboratoire d'Informatique du Littoral, Université du Littoral Côte d'Opale (ULCO), Centre Universitaire de la Mi-Voix, Calais, France (until August 2007); (2) LSiiT Laboratory, University of Strasbourg, Strasbourg, France (since September 2007)
4. David Farrusseng, Institut de Recherches sur la Catalyse, CNRS, Villeurbanne, France
5. Marek W. Gutowski, Institute of Physics, Polish Academy of Sciences, Warsaw, Poland
6. Roy L. Johnston, School of Chemistry, University of Birmingham, Birmingham, UK
7. Jooyoung Lee, School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Korea
8. El-Ghazali Talbi, Laboratoire d'Informatique Fondamentale de Lille - UMR CNRS, Université des Sciences et Technologies de Lille, Villeneuve d'Ascq, France
9. Scott M. Woodley, Davy Faraday Reseach Laboratory (DFRL), KLB, Gower Street, London WC1E6BT, United Kingdom
(Updated 3-nd August 2007).
PRELIMINARY PROGRAMME
LECTURE 1.
Nirupam Chakraborti
Genetic algorithms: Explanation of basic ideas.
Part 1: The single objective approach
LECTURE 2.
Pierre Collet
Genetic algorithms: operators and
parameters
LECTURE 3.
Marek W. Gutowski
Gentle but rigorous introduction to genetic algorithms or what
makes them tick?
LECTURE 4.
El-Ghazali Talbi
Evolutionary algorithms: From design to
implementation
LECTURE 5.
Nirupam Chakraborti
Genetic algorithms: Explanation of basic ideas. Part
2: Multi-objective methods
LECTURE 6.
Pierre Collet
Genetic programming
LECTURE 7.
Roy L. Johnston
Genetic algorithms for cluster optimization - general
aspects
LECTURE 8.
Jooyoung Lee
Global optimization and protein folding studies
LECTURE 9.
Nirupam Chakraborti
Genetic algorithms: Explanation of basic ideas.
Part 3:
Genetic algorithm-neural net combination
LECTURE 10.
Manfred Baerns
Application of genetic algorithms in the development of
catalytic inorganic materials
LECTURE 11.
David Farrusseng
Implement your Genetic Algorithms with a mouse
(attendants' notebooks recommended)
LECTURE 12.
Scott M.
Woodley
Hands-on guide for breeding structures using GULP
(attendants' notebooks recommended)
PLANNED LOCATION: INSTITUTE OF MATERIALS SCIENCE,
PRELIMINARY SCHEDULE:
10:15 - 10:30 OPENING
10:30 - 12:00 lectures (3x30 min)
12:00 - 12:15 coffee break
12:15 - 13:15 lectures (2x30 min)
13:15 - 14:30 lunch
14:30 - 16:00 lectures (3x30 min)
16:00 - 16:15 coffee break
16:15 - 18:15 lectures (4x30 min)
about 18:40 arrival to the registration desk at the main site
FURTHER READING
(selected books and conference proceedings in English and
Polish):
Proceedings of Polish Conferences KAEiOG "Evolutionary Algorithms and Global Optimisation" ( published by Warsaw University of Technology):
The WORKSHOP attendees wishing to actively participate in the tutorial lecture by David Farruseng can download and install OptiCat software at the following address. Files corresponding to case studies (which will be used for tutorial purposes) can also been downloaded as well as videos and slides.
Wojciech Paszkowicz, Institute of Physics, Polish Academy of Sciences, Warsaw, Poland
Kenneth D.M. Harris, School of Chemistry, Cardiff University, Wales
Wojciech Paszkowicz
Institute of Physics
Polish Academy of Sciences
Al. Lotnikow 32/46
PL-02-668 Warsaw
Poland
[email protected]
Kenneth D.M. Harris
School of Chemistry
Cardiff University
Park Place
Cardiff
CF10 3AT Wales
[email protected]