Incorporating Linkage Learning into the GeLog Framework1

  Tim Fühner 2 and Gabriella Kókai 2

  Acta Cybernetica 16 (2003) 209-228.

Abstract:

 This article introduces modifications that have been applied to GeLog , a genetic logic programming framework, in order to improve its performance. The main emphasis of this work is the structure processing of genetic algorithms. As studies have shown, the linkage of genes plays an important role in the performance of genetic algorithms. Thus, different approaches that take linkage learning into account have been reviewed and the most promising has been implemented and tested with GeLog . It is demonstrated that the modified program solves problems that proved hard for the original system.

Footnotes

 ... Framework 1

 This work is supported by the grants of Bayerischer Habilitationsförderpreis 1999.

 ...ühner 2

 Department of Computer Science II, University of Erlangen-Nuremberg, Martensstr. 3, 91058 Erlangen, Germany, e-mail: fuehner@iis-b.fhg.de, kokai@informatik.uni-erlangen.de

 Web administrator 2003-10-14