Layered Learning in Genetic Programming for a Co-operative Robot Soccer Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.8237
- @InProceedings{gustafson:2001:EuroGP,
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author = "Steven M. Gustafson and William H. Hsu",
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title = "Layered Learning in Genetic Programming for a
Co-operative Robot Soccer Problem",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
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year = "2001",
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editor = "Julian F. Miller and Marco Tomassini and
Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and
William B. Langdon",
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volume = "2038",
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series = "LNCS",
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pages = "291--301",
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address = "Lake Como, Italy",
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publisher_address = "Berlin",
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month = "18-20 " # apr,
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organisation = "EvoNET",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, Layered
Learning, Hierarchical abstractions, Robot soccer,
Robots, Multiagent systems: Poster",
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ISBN = "3-540-41899-7",
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URL = "
http://www.cs.nott.ac.uk/~smg/research/publications/eurogp-2001.ps",
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URL = "
http://www.cs.nott.ac.uk/~smg/research/publications/eurogp-2001.pdf",
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DOI = "
doi:10.1007/3-540-45355-5_23",
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size = "11 pages",
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abstract = "We present an alternative to standard genetic
programming (GP) that applies layered learning
techniques to decompose a problem. GP is applied to
subproblems sequentially, where the population in the
last generation of a subproblem is used as the initial
population of the next subproblem. This method is
applied to evolve agents to play keep-away soccer, a
subproblem of robotic soccer that requires cooperation
among multiple agents in a dynnamic environment. The
layered learning paradigm allows GP to evolve better
solutions faster than standard GP. Results show that
the layered learning GP outperforms standard GP by
evolving a lower fitness faster and an overall better
fitness. Results indicate a wide area of future
research with layered learning in GP.",
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notes = "EuroGP'2001, part of miller:2001:gp. See also
\cite{gustafson:mastersthesis}",
- }
Genetic Programming entries for
Steven M Gustafson
William H Hsu
Citations