Investigating the Influence of Depth and Degree of
Genotypic Change on Fitness in Genetic Programming
C. Igel, and K. Chellapilla. Proceedings of the Genetic and Evolutionary
Computation Conference, 2, page 1061--1068. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
Abstract
In this paper we investigate the influence of (a) the
amount of variation generated in the genotype and (b)
the depth of application of variation operators on the
offspring fitness in genetic programming. Simulation
results on three common test problems indicate that for
certain features of the fitness distribution the
location of the variation may play as important a role
as the choice of the applied operators.
Proceedings of the Genetic and Evolutionary
Computation Conference
year
1999
month
13-17 July
pages
1061--1068
publisher
Morgan Kaufmann
volume
2
publisher_address
San Francisco, CA 94104, USA
isbn
1-55860-611-4
notes
GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference
(GP-99)
Errata: We thought of binary trees when the second
paragraph on the second page (i.e. 1062) was
written...
%0 Conference Paper
%1 igel:1999:IIDDGCFGP
%A Igel, Christian
%A Chellapilla, Kumar
%B Proceedings of the Genetic and Evolutionary
Computation Conference
%C Orlando, Florida, USA
%D 1999
%E Banzhaf, Wolfgang
%E Daida, Jason
%E Eiben, Agoston E.
%E Garzon, Max H.
%E Honavar, Vasant
%E Jakiela, Mark
%E Smith, Robert E.
%I Morgan Kaufmann
%K algorithms, and evolvable genetic hardware programming
%P 1061--1068
%T Investigating the Influence of Depth and Degree of
Genotypic Change on Fitness in Genetic Programming
%U http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-422.ps
%V 2
%X In this paper we investigate the influence of (a) the
amount of variation generated in the genotype and (b)
the depth of application of variation operators on the
offspring fitness in genetic programming. Simulation
results on three common test problems indicate that for
certain features of the fitness distribution the
location of the variation may play as important a role
as the choice of the applied operators.
%@ 1-55860-611-4
@inproceedings{igel:1999:IIDDGCFGP,
abstract = {In this paper we investigate the influence of (a) the
amount of variation generated in the genotype and (b)
the depth of application of variation operators on the
offspring fitness in genetic programming. Simulation
results on three common test problems indicate that for
certain features of the fitness distribution the
location of the variation may play as important a role
as the choice of the applied operators.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Orlando, Florida, USA},
author = {Igel, Christian and Chellapilla, Kumar},
biburl = {https://www.bibsonomy.org/bibtex/22840d2a4fc3fd1a7511ae0fd2e8063a0/brazovayeye},
booktitle = {Proceedings of the Genetic and Evolutionary
Computation Conference},
editor = {Banzhaf, Wolfgang and Daida, Jason and Eiben, Agoston E. and Garzon, Max H. and Honavar, Vasant and Jakiela, Mark and Smith, Robert E.},
interhash = {091cb9c2b56b71292f944dc4e568f674},
intrahash = {2840d2a4fc3fd1a7511ae0fd2e8063a0},
isbn = {1-55860-611-4},
keywords = {algorithms, and evolvable genetic hardware programming},
month = {13-17 July},
notes = {GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference
(GP-99)
Errata: We thought of binary trees when the second
paragraph on the second page (i.e. 1062) was
written...},
pages = {1061--1068},
publisher = {Morgan Kaufmann},
publisher_address = {San Francisco, CA 94104, USA},
timestamp = {2008-06-19T17:42:06.000+0200},
title = {Investigating the Influence of Depth and Degree of
Genotypic Change on Fitness in Genetic Programming},
url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-422.ps},
volume = 2,
year = 1999
}