Developing Postfix-GP Framework for Symbolic Regression Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@Misc{oai:arXiv.org:1507.01687,

• title = "Developing Postfix-{GP} Framework for Symbolic Regression Problems",
• note = "Comment: 8 pages, 6 figures",
• author = "Vipul K. Dabhi and Sanjay Chaudhary",
• year = "2015",
• month = jul # "~07",
• keywords = "genetic algorithms, genetic programming",
• 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 analyse 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.",
• bibsource = "OAI-PMH server at export.arxiv.org",
• identifier = "doi:10.1109/ACCT.2015.114",
• oai = "oai:arXiv.org:1507.01687",
• URL = "http://arxiv.org/abs/1507.01687",
• notes = "2016 Sixth International Conference on Advanced Computing & Communication Technologies ACCT 2016?",

}

Genetic Programming entries for Vipul K Dabhi Sanjay Chaudhary

Citations