GELAB - A Matlab toolbox for grammatical evolution

Muhammad Adil Raja, Conor Ryan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we present a Matlab version of libGE. libGE is a famous library for Grammatical Evolution (GE). GE was proposed initially in [1] as a tool for automatic programming. Ever since then, GE has been widely successful in innovation and producing human-competitive results for various types of problems. However, its implementation in C++ (libGE) was somewhat prohibitive for a wider range of scientists and engineers. libGE requires several tweaks and integrations before it can be used by anyone. For anybody who does not have a background in computer science, its usage could be a bottleneck. This prompted us to find a way to bring it to Matlab. Matlab, as it is widely known, is a fourth generation programming language used for numerical computing. Details aside, but it is well known for its user-friendliness in the wider research community. By bringing GE to Matlab, we hope that many researchers across the world shall be able to use it, despite their academic background. We call our implementation of GE as GELAB. GELAB is currently present online as an open-source software (https://github.com/adilraja/GELAB). It can be readily used in research and development.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings
EditorsDavid Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros, Hujun Yin
PublisherSpringer Verlag
Pages191-200
Number of pages10
ISBN (Print)9783030034955
DOIs
Publication statusPublished - 2018
Event19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018 - Madrid, Spain
Duration: 21 Nov 201823 Nov 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11315 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018
Country/TerritorySpain
CityMadrid
Period21/11/1823/11/18

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