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arXiv · 1507.01687

Developing Postfix-GP Framework for Symbolic Regression Problems

Vipul K. Dabhi·Sanjay Chaudhary
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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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BibTeXRIS

Vipul K. Dabhi, Sanjay Chaudhary. 2015-07-07. Developing Postfix-GP Framework for Symbolic Regression Problems. https://doi.org/10.1109/acct.2015.114

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