Banzhaf, WolfgangBrameier, Markus2004-12-072004-12-0720012002-04-08http://hdl.handle.net/2003/541910.17877/DE290R-15261We 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.enUniversität DortmundReihe Computational Intelligence ; 123004report