WebGE: An Open-Source Tool for Symbolic Regression Using Grammatical Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Colmenar:2022:evoapplications,
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author = "J. {Manuel Colmenar} and Raul Martin-Santamaria and
J. Ignacio Hidalgo",
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title = "{WebGE}: An Open-Source Tool for Symbolic Regression
Using Grammatical Evolution",
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booktitle = "25th International Conference, EvoApplications 2022",
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year = "2022",
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month = "20-22 " # apr,
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editor = "Juan Luis Jimenez Laredo and J. Ignacio Hidalgo and
Kehinde Oluwatoyin Babaagba",
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series = "LNCS",
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volume = "13224",
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publisher = "Springer",
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address = "Madrid",
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pages = "269--282",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution, Differential Evolution Symbolic regression,
Open-source software",
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isbn13 = "978-3-031-02461-0",
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DOI = "doi:10.1007/978-3-031-02462-7_18",
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abstract = "Many frameworks and libraries are available for
researchers working on optimization. However, the
majority of them require programming knowledge, lack of
a friendly user interface and cannot be run on
different operating systems. WebGE is a new
optimization tool which provides a web-based graphical
user interface allowing any researcher to use
Grammatical Evolution and Differential Evolution on
symbolic regression problems. In addition, the fact
that it can be deployed on any server as a web service
also incorporating user authentication, makes it a
versatile and portable tool that can be shared by
multiple researchers. Finally, the modular software
architecture allows to easily extend WebGE to other
algorithms and types of problems.",
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notes = "http://www.evostar.org/2022/ EvoApplications2022 held
in conjunction with EuroGP'2022, EvoCOP2022 and
EvoMusArt2022",
- }
Genetic Programming entries for
J Manuel Colmenar
Raul Martin-Santamaria
Jose Ignacio Hidalgo Perez
Citations