WebGE: An Open-Source Tool for Symbolic Regression Using Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Colmenar:2022:evoapplications,

• author = "J. {Manuel Colmenar} and Raul Martin-Santamaria and J. Ignacio Hidalgo",
• title = "{WebGE}: An Open-Source Tool for Symbolic Regression Using Grammatical Evolution",
• booktitle = "25th International Conference, EvoApplications 2022",
• year = "2022",
• month = "20-22 " # apr,
• editor = "Juan Luis Jimenez Laredo and J. Ignacio Hidalgo and Kehinde Oluwatoyin Babaagba",
• series = "LNCS",
• volume = "13224",
• publisher = "Springer",
• address = "Madrid",
• pages = "269--282",
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, Differential Evolution Symbolic regression, Open-source software",
• isbn13 = "978-3-031-02461-0",
• DOI = "doi:10.1007/978-3-031-02462-7_18",
• 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.",
• 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