Evolution of an Effective Brain-Computer Interface Mouse via Genetic Programming with Adaptive Tarpeian Bloat Control
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InCollection{Poli:2011:GPTP,
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author = "Riccardo Poli and Mathew Salvaris and Caterina Cinel",
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title = "Evolution of an Effective Brain-Computer Interface
Mouse via Genetic Programming with Adaptive Tarpeian
Bloat Control",
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booktitle = "Genetic Programming Theory and Practice IX",
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year = "2011",
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editor = "Rick Riolo and Ekaterina Vladislavleva and
Jason H. Moore",
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series = "Genetic and Evolutionary Computation",
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address = "Ann Arbor, USA",
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month = "12-14 " # may,
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publisher = "Springer",
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chapter = "5",
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pages = "77--95",
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keywords = "genetic algorithms, genetic programming, Brain
Computer Interfaces, Adaptive Tarpeian method, Bloat
control",
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isbn13 = "978-1-4614-1769-9",
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DOI = "doi:10.1007/978-1-4614-1770-5_5",
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abstract = "The Tarpeian method for bloat control has been shown
to be a robust technique to control bloat. The
covariant Tarpeian method introduced last year, solves
the problem of optimally setting the parameters of the
method so as to achieve full control over the dynamics
of mean program size. However, the theory supporting
such a technique is applicable only in the case of
fitness proportional selection and for a generational
system with crossover only. we propose an adaptive
variant of the Tarpeian method, which does not suffer
from this limitation. The method automatically adjusts
the rate of application of Tarpeian bloat control so as
to achieve a desired program size dynamics. We test the
method in a variety of standard benchmark problems as
well as in a real-world application in the field of
Brain Computer Interfaces, obtaining excellent
results.",
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notes = "part of \cite{Riolo:2011:GPTP}",
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affiliation = "School of Computer Science and Electronic Engineering,
University of Essex, Wivenhoe Park, CO4 3SQ UK",
- }
Genetic Programming entries for
Riccardo Poli
Mathew Salvaris
Caterina Cinel
Citations