It is time for new perspectives on how to fight bloat in GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Fernandez:2019:GPTP,
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author = "Francisco {Fernandez de Vega} and Gustavo Olague and
Francisco Chavez and Daniel Lanza and
Wolfgang Banzhaf and Erik Goodman",
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title = "It is time for new perspectives on how to fight bloat
in {GP}",
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booktitle = "Genetic Programming Theory and Practice XVII",
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year = "2019",
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editor = "Wolfgang Banzhaf and Erik Goodman and
Leigh Sheneman and Leonardo Trujillo and Bill Worzel",
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pages = "25--38",
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address = "East Lansing, MI, USA",
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month = "16-19 " # may,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-030-39957-3",
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URL = "https://arxiv.org/abs/2005.00603",
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DOI = "doi:10.1007/978-3-030-39958-0_2",
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abstract = "The present and future of evolutionary algorithms
depends on the proper use of modern parallel and
distributed computing infrastructures. Although still
sequential approaches dominate the landscape, available
multi-core, many-core and distributed systems will make
users and researchers to more frequently deploy
parallel version of the algorithms. In such a scenario,
new possibilities arise regarding the time saved when
parallel evaluation of individuals are performed. And
this time saving is particularly relevant in Genetic
Programming. This paper studies how evaluation time
influences not only time to solution in
parallel/distributed systems, but may also affect size
evolution of individuals in the population, and
eventually will reduce the bloat phenomenon GP
features. This paper considers time and space as two
sides of a single coin when devising a more natural
method for fighting bloat. This new perspective allows
us to understand that new methods for bloat control can
be derived, and the first of such a method is described
and tested. Experimental data confirms the strength of
the approach: using computing time as a measure of
individuals complexity allows to control the growth in
size of genetic programming individuals.",
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notes = "Part of \cite{Banzhaf:2019:GPTP}, published after the
workshop",
- }
Genetic Programming entries for
Francisco Fernandez de Vega
Gustavo Olague
Francisco Chavez de la O
Daniel Lanza Garcia
Wolfgang Banzhaf
Erik Goodman
Citations