XML-based genetic programming framework: design philosophy, implementation, and applications |
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| Authors: | Ivan Tanev Katsunori Shimohara |
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| Affiliation: | (1) Department of Information Systems Design, Faculty of Engineering, Doshisha University, 1-3 Miyakodani, Tatara, Kyotanabe Kyoto, 610-0321, Japan;(2) ATR Network Informatics Laboratories, 2-2-2 Hikaridai, “Keihanna Science City,” Kyoto 619-0288, Japan;(3) Department of Computer Science, Stanford University, Stanford, CA 94305, USA;(4) ATR Network Informatics Laboratories, 2-2-2 Hikaridai, “Keihanna Science City,” Kyoto 619-0288, Japan;(5) Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku Kyoto, 606-8501, Japan |
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| Abstract: | We present the design philosophy, implementation, and various applications of an XML-based genetic programming (GP) framework
(XGP). The key feature of XGP is the distinct representation of genetic programs as DOM parsing trees featuring corresponding
flat XML text. XGP contributes to the achievements of: (i) fast prototyping of GP by using the standard built-in API of DOM
parsers for manipulating the genetic programs, (ii) human readability and modifiability of the genetic representations, (iii)
generic support for the representation of the grammar of a strongly typed GP using W3C-standardized XML schema; (iv) inherent
inter-machine migratability of the text-based genetic representation (i.e., the XML text) in the distributed implementations
of GP. |
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