On Multi-class Classification by Way of Niching
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{McIntyre:OMC:gecco2004,
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author = "A. R. McIntyre and M. I. Heywood",
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title = "On Multi-class Classification by Way of Niching",
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booktitle = "Genetic and Evolutionary Computation -- GECCO-2004,
Part II",
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year = "2004",
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editor = "Kalyanmoy Deb and Riccardo Poli and
Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and
Paul Darwen and Dipankar Dasgupta and Dario Floreano and
James Foster and Mark Harman and Owen Holland and
Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and
Dirk Thierens and Andy Tyrrell",
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series = "Lecture Notes in Computer Science",
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pages = "581--592",
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address = "Seattle, WA, USA",
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publisher_address = "Heidelberg",
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month = "26-30 " # jun,
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organisation = "ISGEC",
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publisher = "Springer-Verlag",
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volume = "3103",
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ISBN = "3-540-22343-6",
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ISSN = "0302-9743",
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URL = "http://users.cs.dal.ca/~mheywood/X-files/Publications/andy-GECCO04.pdf",
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DOI = "doi:10.1007/b98645",
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size = "12",
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keywords = "genetic algorithms, genetic programming",
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abstract = "In recent literature, the niche enabling effects of
crowding and the sharing algorithms have been
systematically investigated in the context of Genetic
Algorithms and are now established evolutionary methods
for identifying optima in multi-modal problem domains.
In this work, the niching metaphor is methodically
explored in the context of a simultaneous
multi-population GP classifier in order to investigate
which (if any) properties of traditional sharing and
crowding algorithms may be portable in arriving at a
naturally motivated niching GP. For this study, the
niching mechanisms are implemented in Grammatical
Evolution to provide multi-category solutions from the
same population in the same trial. Each member of the
population belongs to a different niche in the GE
search space corresponding to the data classes. The set
of best individuals from each niche are combined
hierarchically and used for multi-class classification
on the familiar multi-class UCI data sets of Iris and
Wine. A distinct preference for Sharing as opposed to
Crowding is demonstrated with respect to population
diversity during evolution and niche classification
accuracy.",
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notes = "GECCO-2004 A joint meeting of the thirteenth
international conference on genetic algorithms
(ICGA-2004) and the ninth annual genetic programming
conference (GP-2004)",
- }
Genetic Programming entries for
Andrew R McIntyre
Malcolm Heywood
Citations