%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 }