Promoting Generalization of Learned Behaviours in
Genetic Programming
I. Kuscu. Fifth International Conference on Parallel Problem
Solving from Nature, volume 1498 of LNCS, page 491--500. Amsterdam, Springer-Verlag, (27-30 September 1998)
Abstract
Recently, growing numbers of research concentrate on
robustness of the programs evolved using GP. While some
of the researchers report on the brittleness of the
solutions evolved, some others proposed methods of
promoting robustness. It is important that these
methods are not ad hoc and specific for a certain
experimental setup. In this research, brittleness of
solutions found for the artificial ant problem is
reported, and a new method promoting generalization of
the solution is presented.
%0 Conference Paper
%1 kuscu:1998:pglbGP
%A Kuscu, Ibrahim
%B Fifth International Conference on Parallel Problem
Solving from Nature
%C Amsterdam
%D 1998
%E Eiben, Agoston E.
%E Back, Thomas
%E Schoenauer, Marc
%E Schwefel, Hans-Paul
%I Springer-Verlag
%K algorithms, genetic programming
%P 491--500
%T Promoting Generalization of Learned Behaviours in
Genetic Programming
%V 1498
%X Recently, growing numbers of research concentrate on
robustness of the programs evolved using GP. While some
of the researchers report on the brittleness of the
solutions evolved, some others proposed methods of
promoting robustness. It is important that these
methods are not ad hoc and specific for a certain
experimental setup. In this research, brittleness of
solutions found for the artificial ant problem is
reported, and a new method promoting generalization of
the solution is presented.
%@ 3-540-65078-4
@inproceedings{kuscu:1998:pglbGP,
abstract = {Recently, growing numbers of research concentrate on
robustness of the programs evolved using GP. While some
of the researchers report on the brittleness of the
solutions evolved, some others proposed methods of
promoting robustness. It is important that these
methods are not ad hoc and specific for a certain
experimental setup. In this research, brittleness of
solutions found for the artificial ant problem is
reported, and a new method promoting generalization of
the solution is presented.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Amsterdam},
author = {Kuscu, Ibrahim},
biburl = {https://www.bibsonomy.org/bibtex/2a7aeb4f3a13865a7e8f03e0ebcb80f38/brazovayeye},
booktitle = {Fifth International Conference on Parallel Problem
Solving from Nature},
editor = {Eiben, Agoston E. and Back, Thomas and Schoenauer, Marc and Schwefel, Hans-Paul},
interhash = {47acd2ed30b7aa813b755edf17f57f87},
intrahash = {a7aeb4f3a13865a7e8f03e0ebcb80f38},
isbn = {3-540-65078-4},
keywords = {algorithms, genetic programming},
month = {27-30 September},
notes = {PPSN-V},
pages = {491--500},
publisher = {Springer-Verlag},
publisher_address = {Berlin},
series = {LNCS},
timestamp = {2008-06-19T17:44:35.000+0200},
title = {Promoting Generalization of Learned Behaviours in
Genetic Programming},
volume = 1498,
year = 1998
}