@misc{W2009TARBGP,
author = {Thomas Weise},
title = {Traditional and Rule-based Genetic Programming},
year = {2009},
month = dec # {~22},
location = {Electric Building No. 2, West Campus, Huangshan Road, Hefei 230027,
Anhui, China, Lecture Room},
address = {Electric Building No. 2, West Campus, Huangshan Road, Hefei 230027,
Anhui, China},
institution = {Nature Inspired Computation and Applications Laboratory, School of
Computer Science and Technology, University of Science and Technology of
China (USTC)},
note = {A presentation held about traditional Genetic Programming and RBGP in
December 2009.\\
The work is online available at
http://www.it-weise.de/documents/index.html\#W2009TARBGP.\\
The presentation can be downloaded at
http://www.it-weise.de/documents/files/W2009TARBGP.pdf.\\
Contact Thomas Weise at tweise@gmx.de or http://www.it-weise.de/.},
abstract = {The family of Evolutionary Algorithms used to derive trees or
program-like structures is called Genetic Programming (GP). In this
presentation, we will outline how Genetic Programming works by comparing
the different steps of the underlying optimization process with their
natural role model - the Darwinean principles of evolution. We will
outline for which application areas GP is suitable and which
difficulties we face when trying to apply it to problems beyond these
areas. The rule-based Genetic Programming idea is introduced as one
possible countermeasure to these difficulties. The presentation ends
with a small demonstration of algorithms synthesized with this new GP
approach.},
contents = {1. Initial Example\\
2. Evolutionary Algorithms and GP\\
3. Representations in GP\\
4. Challenges in Genetic Programming\\
5. Rule-based Genetic Programming\\
6. Evolving Distributed Algorithms with GP\\
7. Conclusions\\
8. Literature},
keywords = {Genetic Programming, GP, tree-based Genetic Programming, TGP, SGP,
Linear Genetic Programming, LGP, Rule-based Genetic Programming, RBGP,
Evolutionary Algorithms EA, Distributed Algorithms, GCD, Greatest Common
Divisor, Symbolic Regression},
language = {en},
url = {http://www.it-weise.de/documents/index.html\#W2009TARBGP}
}
