XCS with stack-based genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8204
- @InProceedings{lanzi:2003:xwsgp,
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author = "Pier Luca Lanzi",
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title = "{XCS} with stack-based genetic programming",
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booktitle = "Proceedings of the 2003 Congress on Evolutionary
Computation CEC2003",
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editor = "Ruhul Sarker and Robert Reynolds and
Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and
Tom Gedeon",
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pages = "1186--1191",
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year = "2003",
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publisher = "IEEE Press",
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address = "Canberra",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "8-12 " # dec,
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organisation = "IEEE Neural Network Council (NNC), Engineers Australia
(IEAust), Evolutionary Programming Society (EPS),
Institution of Electrical Engineers (IEE)",
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keywords = "genetic algorithms, genetic programming, Artificial
intelligence, Computer hacking, Genetic mutations,
Intelligent robots, Laboratories, Learning automata,
Proposals, System testing, data structures, knowledge
based systems, learning (artificial intelligence),
learning systems, linear programming, pattern
classification, classifier condition representation,
learning classifier system, linear programming, mutate
classifier, reverse polish notation expression,
stack-based genetic programming, virtual stack
machine",
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ISBN = "0-7803-7804-0",
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URL = "http://webspace.elet.polimi.it/lanzi/papers//lanzi2003cecstack.pdf",
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DOI = "doi:10.1109/CEC.2003.1299803",
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abstract = "We present an extension of the learning classifier
system XCS in which classifier conditions are
represented by RPN expressions and stack-based Genetic
Programming is used to recombine and mutate
classifiers. In contrast with other extensions of XCS
involving tree-based Genetic Programming, the
representation we apply here produces conditions that
are linear programs, interpreted by a virtual stack
machine (similar to a pushdown automaton), and
recombined through standard genetic operators. We test
the version of XCS extended with stack-based conditions
on a set of problems of different complexity.",
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notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
- }
Genetic Programming entries for
Pier Luca Lanzi
Citations