Fühner Tim and Kókai Gabriella: Incorporating linkage learning into the GeLog framework. In: 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 |
|---|---|
| Journal or Publication Title: | Acta cybernetica |
| Date: | 2003 |
| Volume: | 16 |
| Number: | 2 |
| ISSN: | 0324-721X |
| Page Range: | pp. 209-228 |
| Language: | English |
| Place of Publication: | Szeged |
| Event Title: | Conference for PhD Students in Computer Science (3.) (2002) (Szeged) |
| Related URLs: | http://acta.bibl.u-szeged.hu/38516/ |
| Uncontrolled Keywords: | Számítástechnika, Kibernetika |
| Additional Information: | Bibliogr.: p. 227-228. ; összefoglalás angol nyelven |
| Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences |
| Date Deposited: | 2016. Oct. 15. 12:25 |
| Last Modified: | 2022. Jun. 14. 15:22 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/12718 |
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