An Indirect Block-Oriented Representation for Genetic Programming

  • Authors:
  • Eva Brucherseifer;Peter Bechtel;Stephan Freyer;Peter Marenbach

  • Affiliations:
  • -;-;-;-

  • Venue:
  • EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
  • Year:
  • 2001

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Abstract

When Genetic Programming (GP) is applied to system identification or controller design different codings can be used for internal representation of the individuals. One common approach is a block-oriented representation where nodes of the tree structure directly correspond to blocks in a block diagram. In this paper we present an indirect block-oriented representation, which adopts some aspects of the way humans perform the modelling in order to increase the GP system's performance. A causality measure based on an edit distance is examined to compare the direct an the indirect representation. Finally, results from a real world application of the indirect block-oriented representation are presented.