Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming
| dc.contributor.author | Banzhaf, Wolfgang | de |
| dc.contributor.author | Brameier, Markus | de |
| dc.date.accessioned | 2004-12-07T08:21:02Z | |
| dc.date.available | 2004-12-07T08:21:02Z | |
| dc.date.created | 2001 | de |
| dc.date.issued | 2002-04-08 | de |
| dc.description.abstract | We investigate structural and semantic distance metrics for linear genetic programs. Causal connections between changes of the genotype and fitness changes form a necessary condition for analyzing structural differences between genetic programs and for the two major objectives of this paper: (i) Distance information betweenin-dividuals is used to control structural diversity of population individuals actively by a two-level tournament selection. (ii) Variation distance of effective code is controlled for different genetic operators - including an effective variant of the mutation operator that works closely with the used distance metric. Numerous experiments have been performed for a regression problem, a classification task, and a Boolean problem. | en |
| dc.format.extent | 477091 bytes | |
| dc.format.extent | 991025 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | application/postscript | |
| dc.identifier.uri | http://hdl.handle.net/2003/5419 | |
| dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-15261 | |
| dc.language.iso | en | de |
| dc.publisher | Universität Dortmund | de |
| dc.relation.ispartofseries | Reihe Computational Intelligence ; 123 | de |
| dc.subject.ddc | 004 | de |
| dc.title | Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming | en |
| dc.type | Text | de |
| dc.type.publicationtype | report | |
| dcterms.accessRights | open access |