A Learning Classifier System Based on Genetic Network Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Li:2013:ieeeSMC,

• author = "Xianneng Li and Kotaro Hirasawa",
• title = "A Learning Classifier System Based on Genetic Network Programming",
• booktitle = "2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013)",
• year = "2013",
• pages = "1323--1328",
• address = "Manchester",
• month = "13-16 " # oct,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, genetic network programming, learning classifier systems, niching, fitness sharing, reinforcement learning",
• DOI = "doi:10.1109/SMC.2013.229",
• size = "6 pages",
• abstract = "Recent advances in Learning Classifier Systems (LCSs) have shown their sequential decision-making ability with a generalisation property. In this paper, a novel LCS named extended rule-based Genetic Network Programming (XrGNP) is proposed. Different from most of the current LCSs, the rules are represented and discovered through a graph-based evolutionary algorithm GNP, which consequently has the distinct expression ability to model and evolve the decision-making rules. XrGNP is described in details in which its unique features are explicitly mapped. Experiments on benchmark and real-world multi-step problems demonstrate the effectiveness of XrGNP.",
• notes = "Also known as \cite{6721982}",

}

Genetic Programming entries for Xianneng Li Kotaro Hirasawa

Citations