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The Ethereal
Developing Postfix-GP Framework for Symbolic Regression Problems
July 07, 2015 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Vipul K. Dabhi, Sanjay Chaudhary
arXiv ID
1507.01687
Category
cs.NE: Neural & Evolutionary
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This paper describes Postfix-GP system, postfix notation based Genetic Programming (GP), for solving symbolic regression problems. It presents an object-oriented architecture of Postfix-GP framework. It assists the user in understanding of the implementation details of various components of Postfix-GP. Postfix-GP provides graphical user interface which allows user to configure the experiment, to visualize evolved solutions, to analyze GP run, and to perform out-of-sample predictions. The use of Postfix-GP is demonstrated by solving the benchmark symbolic regression problem. Finally, features of Postfix-GP framework are compared with that of other GP systems.
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