A Learning Classifier System Based on Genetic Network Programming
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- @InProceedings{Li:2013:ieeeSMC,
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author = "Xianneng Li and Kotaro Hirasawa",
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title = "A Learning Classifier System Based on Genetic Network
Programming",
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booktitle = "2013 IEEE International Conference on Systems, Man,
and Cybernetics (SMC 2013)",
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year = "2013",
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pages = "1323--1328",
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address = "Manchester",
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month = "13-16 " # oct,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, genetic
network programming, learning classifier systems,
niching, fitness sharing, reinforcement learning",
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DOI = "doi:10.1109/SMC.2013.229",
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size = "6 pages",
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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.",
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notes = "Also known as \cite{6721982}",
- }
Genetic Programming entries for
Xianneng Li
Kotaro Hirasawa
Citations