pi Grammatical Evolution is presented and its
performance on four benchmark problems is reported. pi
Grammatical Evolution is a position-independent
variation on Grammatical Evolution's genotype-phenotype
mapping process where the order of the derivation
sequence steps are no longer applied to non-terminals
in a predefined fashion from left to right on the
developing program. Instead the genome is used to
specify which nonterminal will be developed next, in
addition to specifying the rule that will be applied to
that nonterminal. Results suggest that the adoption of
a more flexible mapping process where the order of
nonterminal expansion is not determined a-priori, but
instead itself evolved, is beneficial for Grammatical
Evolution.
Genetic and Evolutionary Computation -- GECCO-2004,
Part II
year
2004
month
26-30 June
pages
617--629
publisher
Springer-Verlag
series
Lecture Notes in Computer Science
volume
3103
issn
0302-9743
organisation
ISGEC
publisher_address
Heidelberg
size
13
isbn
3-540-22343-6
notes
GECCO-2004 A joint meeting of the thirteenth
international conference on genetic algorithms
(ICGA-2004) and the ninth annual genetic programming
conference (GP-2004) also known as
ONeill:PI:gecco2004
%0 Conference Paper
%1 oneill:2004:piGE
%A O'Neill, Michael
%A Brabazon, Anthony
%A Nicolau, Miguel
%A Garraghy, Sean Mc
%A Keenan, Peter
%B Genetic and Evolutionary Computation -- GECCO-2004,
Part II
%C Seattle, WA, USA
%D 2004
%E Deb, Kalyanmoy
%E Poli, Riccardo
%E Banzhaf, Wolfgang
%E Beyer, Hans-Georg
%E Burke, Edmund
%E Darwen, Paul
%E Dasgupta, Dipankar
%E Floreano, Dario
%E Foster, James
%E Harman, Mark
%E Holland, Owen
%E Lanzi, Pier Luca
%E Spector, Lee
%E Tettamanzi, Andrea
%E Thierens, Dirk
%E Tyrrell, Andy
%I Springer-Verlag
%K algorithms, evolution genetic grammatical programming,
%P 617--629
%R doi:10.1007/b98645
%T pi Grammatical Evolution
%U http://link.springer.de/link/service/series/0558/papers/3103/31030617.pdf
%V 3103
%X pi Grammatical Evolution is presented and its
performance on four benchmark problems is reported. pi
Grammatical Evolution is a position-independent
variation on Grammatical Evolution's genotype-phenotype
mapping process where the order of the derivation
sequence steps are no longer applied to non-terminals
in a predefined fashion from left to right on the
developing program. Instead the genome is used to
specify which nonterminal will be developed next, in
addition to specifying the rule that will be applied to
that nonterminal. Results suggest that the adoption of
a more flexible mapping process where the order of
nonterminal expansion is not determined a-priori, but
instead itself evolved, is beneficial for Grammatical
Evolution.
%@ 3-540-22343-6
@inproceedings{oneill:2004:piGE,
abstract = {pi Grammatical Evolution is presented and its
performance on four benchmark problems is reported. pi
Grammatical Evolution is a position-independent
variation on Grammatical Evolution's genotype-phenotype
mapping process where the order of the derivation
sequence steps are no longer applied to non-terminals
in a predefined fashion from left to right on the
developing program. Instead the genome is used to
specify which nonterminal will be developed next, in
addition to specifying the rule that will be applied to
that nonterminal. Results suggest that the adoption of
a more flexible mapping process where the order of
nonterminal expansion is not determined a-priori, but
instead itself evolved, is beneficial for Grammatical
Evolution.},
added-at = {2008-06-19T17:46:40.000+0200},
address = {Seattle, WA, USA},
author = {O'Neill, Michael and Brabazon, Anthony and Nicolau, Miguel and Garraghy, Sean Mc and Keenan, Peter},
biburl = {https://www.bibsonomy.org/bibtex/2227a7b312ba466fd79b07597c02bad17/brazovayeye},
booktitle = {Genetic and Evolutionary Computation -- GECCO-2004,
Part II},
doi = {doi:10.1007/b98645},
editor = {Deb, Kalyanmoy and Poli, Riccardo and Banzhaf, Wolfgang and Beyer, Hans-Georg and Burke, Edmund and Darwen, Paul and Dasgupta, Dipankar and Floreano, Dario and Foster, James and Harman, Mark and Holland, Owen and Lanzi, Pier Luca and Spector, Lee and Tettamanzi, Andrea and Thierens, Dirk and Tyrrell, Andy},
interhash = {4696c666437b0c334cd0541acc4455c8},
intrahash = {227a7b312ba466fd79b07597c02bad17},
isbn = {3-540-22343-6},
issn = {0302-9743},
keywords = {algorithms, evolution genetic grammatical programming,},
month = {26-30 June},
notes = {GECCO-2004 A joint meeting of the thirteenth
international conference on genetic algorithms
(ICGA-2004) and the ninth annual genetic programming
conference (GP-2004) also known as
\cite{ONeill:PI:gecco2004}},
organisation = {ISGEC},
pages = {617--629},
publisher = {Springer-Verlag},
publisher_address = {Heidelberg},
series = {Lecture Notes in Computer Science},
size = {13},
timestamp = {2008-06-19T17:49:00.000+0200},
title = {pi Grammatical Evolution},
url = {http://link.springer.de/link/service/series/0558/papers/3103/31030617.pdf},
volume = 3103,
year = 2004
}