Exploitation Genetic Algorithms by Optimising Industrial Site Clustering and Telecommunication Networks


Keywords: genetic algorithms, network design, optimisation, constraint handling

Start Date: 1 January 95 / Status: finished / Duration: 24 months

[ participants / contact]

Objectivies and Approach

The main objectives pursued within the EGOIST project are to enhance the European standard platform for the exploration of parallel genetic algorithms (through the GAME environment) and to establish GAME in regions and countries outside the EU.

This will be achieved by creating applications in new programming areas and applying the genetic algorithm technology to solve problems related to developing countries. In particular, a tool for optimising the layout of telecommunication networks and a model for predicting industrial site clustering in developing countries will be developed.

European links: GAME is a result of the ESPRIT project PAPAGENA (6857).

Progress and Results

The aims of the project are achieved by creating a generic environment to define network requirements, by developing applications in new programming areas and applying genetic algorithms technology to solve problems related to developing countries.

Information Dissemination Activities and/or Exploitation

A specific application is currently under development for the optimisation of telecommunication network layouts in Tunisia.


Cap Volmac B.V.
Daltonlaan 300
P.O. Box 2575
3500 GN Utrecht, NL

EU Partners

Cap Volmac B.V., NL
Institut für Kybernetik und Systemtheorie, D

Non-EU Partners

Institut Régional des Sciences Informatiques et des, TN


Mrs Monique Gerrets
Tel: +31 30 252 63 11
Fax: +31 30 252 70 45
E-mail: Mgerrets@ inetgate.capvolmac.nl

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EGOIST - EC-MED-35, May 1997

please address enquiries to the ESPRIT Information Desk

html version of synopsis by Nick Cook