A Genetic Programming Environment for System Modeling

  • Authors:

  • Efstratios F. Georgopoulos;George P. Zarogiannis;Adam V. Adamopoulos;Anastasios P. Vassilopoulos;Spiridon D. Likothanassis

  • Affiliations:

  • Pattern Recognition Laboratory, Dept. of Computer Engineering & Informatics, University of Patras, Patras, Greece 26500 and Technological Educational Institute of Kalamata, Kalamata, Greece 24100;Pattern Recognition Laboratory, Dept. of Computer Engineering & Informatics, University of Patras, Patras, Greece 26500;Pattern Recognition Laboratory, Dept. of Computer Engineering & Informatics, University of Patras, Patras, Greece 26500 and Medical Physics Laboratory, Department of Medicine, Democritus Universit ...;Composite Construction Laboratory (CCLab), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland CH-1015;Pattern Recognition Laboratory, Dept. of Computer Engineering & Informatics, University of Patras, Patras, Greece 26500

  • Venue:
  • SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
  • Year:
  • 2008

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Abstract

In the current paper we present an integrated genetic programming environment with a graphical user interface (GUI), called jGPModeling. The jGPModeling environment was developed using the JAVA programming language, and is an implementation of the steady-state genetic programming algorithm. That algorithm evolves tree based structures that represent models of input --- output relation of a system. During the design and implementation of the application, we focused on the execution time optimization and tried to limit the bloat effect. In order to evaluate the performance of the jGPModeling environment, two different real world system modeling tasks were used.