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Issue title: Genetic Programming An Emerging Engineering Tool
Article type: Research Article
Authors: Hoang, Tuan-Haoa; * | Essam, Daryla | RI (Bob), McKayb | Hoai, Nguyen Xuanb
Affiliations: [a] School of ITEE, University of New South Wales, Australian Defence Force Academy, Canberra, Australia | [b] School of Computer Science & Engineering, College of Engineering, Seoul National University, Korea
Correspondence: [*] Corresponding author. Tel.: +61 2 626 88693; Fax: +61 2 626 88581; E-mail: t.hao@adfa.edu.au
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.
DOI: 10.3233/KES-2008-12106
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 12, no. 1, pp. 69-82, 2008
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