Incorporating linkage learning into the GeLog framework

Fühner, Tim and Kókai, Gabriella: Incorporating linkage learning into the GeLog framework. Acta cybernetica, (16) 2. pp. 209-228. (2003)

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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.

Item Type: Article
Event Title: Conference for PhD Students in Computer Science, 3., 2002, Szeged
Journal or Publication Title: Acta cybernetica
Date: 2003
Volume: 16
Number: 2
Page Range: pp. 209-228
ISSN: 0324-721X
Language: angol
Uncontrolled Keywords: Természettudomány, Informatika
Additional Information: Bibliogr.: p. 227-228.; Abstract
Date Deposited: 2016. Oct. 15. 12:25
Last Modified: 2018. Apr. 10. 15:44
URI: http://acta.bibl.u-szeged.hu/id/eprint/12718

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