Objective
Genetic algorithms in general, and parallel genetic algorithms in particular, are of major importance in the development of the new generation of IT applications. The potential which parallel genetic algorithms offer over existing information processing techniques is enormous. Genetic algorithms are ideally suited to the processing, classification and control of large-volume and varied data.
The PAPAGENA project aims to demonstrate applications and develop a programming environment for parallel genetic algorithms. The applications will underscore the usefulness of genetic algorithms in the European industry, while the programming environment work aims to establish a European standard.
The environment, called GAME (Genetic Algorithm Manipulation Environment), under development at present, provides a general-purpose toolkit for the programming and simulation of a wide range of genetic algorithm applications. It comprises a library of common genetic algorithms and a powerful graphical interface. In addition, the project exploits the intrinsic parallelism of genetic algorithms and will develop a compiling and mapping system for users of European high-performance supercomputers (particularly transputer-based systems) and future architectures to be provided by OMI (the Open Microprocessor Systems Initiative).
The target application areas for the demonstrators will be:
- protein folding, where the aim is to develop a method for calculating optimal polypeptide conformations by combining force-field energy calculations (based on semi-empirical parameters) with parallel genetic algorithms
- financial modelling, where a credit marketing and risk assessment decision-support tool will be developed - economic modelling, where a model for predicting industrial site clustering in Brandenburg has been developed.
To advance the application of genetic algorithm technology, a Genetic Algorithm European Economic Interest Group (EEIG) is in the process of being formed, comprising leading companies from across Europe. By allowing leading companies to monitor the building of genetic algorithm applications in PAPAGENA and giving them early access to the GAME programming environment, the consortium hopes to encourage the rapid take-up of the technology.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware computer processors
- natural sciences biological sciences biochemistry biomolecules proteins protein folding
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware supercomputers
- natural sciences computer and information sciences data science data processing
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Coordinator
13355 Berlin
Germany
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