%0 Journal Article %1 Hoang:2008:IJKBIES %A Hoang, Tuan-Hao %A Essam, Daryl %A McKay, R. I. (Bob) %A Hoai, Nguyen Xuan %D 2008 %I IOS Press %J International Journal of Knowledge-Based and Intelligent Engineering Systems %K algorithms, genetic programming %N 1 %P 69--82 %T Developmental evaluation in Genetic Programming: The TAG-based frame work %U http://iospress.metapress.com/content/w4qu7136432k6733/ %V 12 %X We build on our previous feasibility studies 18,20, which demonstrated the impact of evaluation during development in the DEVTAG system, and here present a full-fledged developmental system - Developmental Tree Adjoining Grammar Guided Genetic Programming (DTAG3P) with developmental evaluation, based on Tree-Adjoining Grammars (TAG). While DEVTAG used only a trivial developmental process, DTAG3P uses L-systems to encode TAG derivation trees, because the L-systems permit a full developmental process. DEVTAG was previously shown to dramatically out-perform standard Genetic Programming (GP) on some structured families of problems; here, we examine DTAG3P's performance on these families, and find a further major increment in performance over DEVTAG. DTAG3P achieves this despite dispensing with two extra control parameters which were necessary with DEVTAG.

@article{Hoang:2008:IJKBIES, abstract = {We build on our previous feasibility studies [18,20], which demonstrated the impact of evaluation during development in the DEVTAG system, and here present a full-fledged developmental system - Developmental Tree Adjoining Grammar Guided Genetic Programming (DTAG3P) with developmental evaluation, based on Tree-Adjoining Grammars (TAG). While DEVTAG used only a trivial developmental process, DTAG3P uses L-systems to encode TAG derivation trees, because the L-systems permit a full developmental process. DEVTAG was previously shown to dramatically out-perform standard Genetic Programming (GP) on some structured families of problems; here, we examine DTAG3P's performance on these families, and find a further major increment in performance over DEVTAG. DTAG3P achieves this despite dispensing with two extra control parameters which were necessary with DEVTAG.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Hoang, Tuan-Hao and Essam, Daryl and McKay, R. I. (Bob) and Hoai, Nguyen Xuan}, biburl = {https://www.bibsonomy.org/bibtex/2e9201c242ba88b9ca4bdd7361cd5f2ec/brazovayeye}, interhash = {ce1c0fb93c0e534f3975c5165fa632e5}, intrahash = {e9201c242ba88b9ca4bdd7361cd5f2ec}, issn = {1327-2314}, journal = {International Journal of Knowledge-Based and Intelligent Engineering Systems}, keywords = {algorithms, genetic programming}, notes = {KES}, number = 1, pages = {69--82}, publisher = {IOS Press}, timestamp = {2008-06-19T17:41:36.000+0200}, title = {Developmental evaluation in Genetic Programming: The {TAG}-based frame work}, url = {http://iospress.metapress.com/content/w4qu7136432k6733/}, volume = 12, year = 2008 }