@inproceedings{4bd27430c8da4d48818597cc271ff1d0,
title = "Fine-Grained Population Diversity Estimation for Genetic Programming Based Structure Identification",
abstract = "We here describe a novel formalism for estimating the structural similarity of formulas that are evolved by a genetic programming (GP) based identification process. This method takes into account several aspects of structure tree comparison that are particularly important in the context of evolutionary system identification; this similarity measure is used for measuring the genetic diversity among GP populations.",
keywords = "Data mining, Genetic programming, Machine learning, Population diversity analysis, System identification",
author = "Stephan Winkler and Michael Affenzeller and Stefan Wagner",
year = "2008",
doi = "10.1145/1389095.1389376",
language = "English",
isbn = "9781605581309",
series = "GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008",
publisher = "ACM Sigevo",
pages = "1435--1436",
booktitle = "GECCO'08",
note = "Genetic and Evolutionary Algorithms Conference GECCO 2008, Atlanta ; Conference date: 12-07-2008 Through 16-08-2008",
}