Developing Postfix-GP Framework for Symbolic Regression Problems

نویسندگان

  • Vipul K. Dabhi
  • Sanjay Chaudhary
چکیده

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 PostfixGP framework are compared with that of other GP systems. KeywordsPostfix Genetic Programming; Postfix-GP Framework; Object Oriented Design; GP Software Tool; Symbolic Regression

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عنوان ژورنال:
  • CoRR

دوره abs/1507.01687  شماره 

صفحات  -

تاریخ انتشار 2015