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Network on industrial design and control applications using genetic algorithms and evolution strategies - INGENET


Network overview

    The increasing complexity of design in Aeronautic, Automotive and Energy Industries requires more and more robust optimisation and control tools for solving simultaneously discrete, continuous and combinatorial problems.

    Evolutionary Algorithms (EAs) are artificial intelligence techniques which mimic nature according to Darwin's "survival of the fittest" principle. They randomly encode physical (quantitative or qualitative) variables via digital DNA inside computers and are known for their robustness to better explore search spaces and find near-global optima than traditional optimization methods. For this reason Evolutionary Algorithms are becoming widely used in many engineering and scientific problems.

    The main goal of the INGENET Network is to bring together academic and industrial partners in order to evaluate and compare performances of recent evolution based methodologies and (parallel) softwares on selected test problems of industrial interest.

    The Network includes the following tasks:

    • specifying its main objectives and activities, with reference to the exploratory phase;
    • co-ordinating innovative industrial research on Evolutionary Algorithms;
    • updating continuously the electronic INGENET Home Page Newsletter on the World Wide Web dealing with genetic information relevant to industrial applications;
    • installing an on-going INGENET database at INRIA Sophia Antipolis;
    • computing selected model and industry oriented test cases;
    • organising once a year in Europe (the first in the series scheduled in March 1998) a series of two-day Database Workshops bringing together node-partners to present, analyse, validate and synthesize results of computation and innovative methodologies;
    • organising a EUROGEN Short Course in Europe every two years presenting the state-of-the-art of theoretical, numerical and applicational aspects of Evolutionary Algorithms (the second in the series entitled EUROGEN '97 to take place in Italy in 1997), seminars and training during review meetings once a year focusing on theoretical aspects of EAs.

    Fluids Dynamics, Acoustics, Structure Mechanics, Electromagnetics, Automation Control and Energy are the featured multidisciplinary areas in Engineering and Applied Sciences targeted by INGENET where evolution approaches work impressively well.

    The ultimate goal of INGENET is to stimulate and disseminate widely and electronically in Europe innovative evolution based methodologies and software, providing an interactive dynamic bridge between Artificial Intelligence, Computer Sciences and Engineering for solving real life problems.


European dimension and partnership

    The objective of the INGENET project is to set up a network of expertise in the field of Evolutionary Algorithms allowing universities, laboratories and industries to collaborate in the development and validation of methodologies involving EAs as well as offering a benchmark platform for applications of industrial interest.

    The INGENET network intends to tandem node partners from academia and Industry with the INGENET kernel.

    Industrial nodes will participate in the definition of test cases and their computations with Evolutionary Algorithms. They will participate during workshops in data evaluation and interpretation, giving views on the results from an industrial perspective. They will work in tandem with one or several universities or institutes of their choice to favour stimulation between teams and encourage the cross-fertilization of evolution methodologies with the industrial environment.

    The interest of universities and research institutes to participate in INGENET consists mainly in using Evolutionary Algorithms in practical industrial applications in order to highlight the particular strength of these optimization algorithms. As an outcome of INGENET these academic centres will get into contact with European industries or SMEs represented in INGENET to look for potential applications of EAs beyond the test cases discussed in the network.


Potential applications

    This new optimization technology was initially developed in the United States. Nowadays industrial problems require these global optimization techniques and there is an increasing interest in Industry to apply these robust algorithms to their complex multi-objective multidisciplinary design and control problems.


Contract Brite-Euram Nr: BRRT-CT97-5034

    EC Contribution

      989 500 ECU

    Starting Date

      15 November 1997

    Closing Date

      14 November 2000

    Duration

      36 months

    EC scientific officer

      Jyrki KALEVI SUOMINEN
      Fax: +32-2-295 80 46

    Coordinator

    Industries Dassault Aviation SA

      Etablissement de Saint-Cloud
      Direction Générale Technique
      Quai Marcel-Dassault 78
      92552 Saint-Cloud
      France
      Jacques Périaux
      Tel.: +33-1-47 11 37 89
      Fax: +33-1-47 11 53 65
      E-mail: periaux@rascasse.inria.fr



Partnership

    Industries British Aerospace Defence Ltd - Preston-Lancashire (GB)
    Research Centres Centro Italiano Ricerche Aerospaziali ScpA - Napoli-Capua (IT)
    Industries Centro Ricerche Fiat SCpA - Torino-Orbassano (IT)
    Research Centres Consejo Superior de Investigaciones Científicas - Arganda del Rey - Madrid (ES)
    Industries Daimler-Benz Aérospace AG - München (DE)
    Industries Dornier GmbH - Friedrichshafen (DE)
    Universities Ecole Polytechnique - Palaiseau (FR)
    Research Centres Institut National de Recherches en Informatique et en Automatique - INRIA - Valbonne-Sophia Antipolis (FR)
    Research Centres Instituto Nacional de Técnica Aeroespacial `Esteban Terradas' - Torrejon de Ardoz (ES)
    Universities Napier University - Edinburgh (GB)
    Universities National Technical University of Athens - Athens (GR)
    Industries Saab AB - Linköping (SE)
    Industries Unión Eléctrica de Canarias SA - Santa Cruz de Tenerife (ES)
    Universities Universidad de Las Palmas de Gran Canaria-Centro de Aplicaciones Numericas en Ingenieria - Las Palmas de Gran Canaria - Telde (ES)
    Universities Universidad de Las Palmas de Gran Canaria-Centro de Microelectronica Aplicada - Las Palmas de Gran Canaria - Telde (ES)
    Universities Università degli Studi di Trieste - Trieste (IT)
    Universities Universität Dortmund - Dortmund (DE)
    Universities Université Pierre et Marie Curie - Paris VI - Paris (FR)
    Universities University of Jyväskylä - Jyväskylä (FI)
    Universities University of Patras - Patras (GR)
    Industries Valmet Oy - Jyväskylä (FI)

   
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