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GFLIB: An Open Source Library for Genetic Folding Solving Optimization Problems

Authors
  • Mohammad, A . Mezher
Journal
Artificial Intelligence Advances
Publisher
Bilingual Publishing Co
Volume
1
Issue
1
Identifiers
DOI: 10.30564/aia.v1i1.608
Source
Bilingual Publishing
Keywords
License
Green

Abstract

This paper aims at presenting GFLIB, a Genetic Folding MATLAB toolbox for supervised learning problems. In particular, the goal of GFLIB is to build a concise model of supervised learning, a free, open source MATLAB toolbox for performing classification and regression. The GFLIB specifically designed for most of the features traditionally used to evolve in applications of mathematical models. The toolbox suits all kinds of users, from the users who implemented GFLIB as a “black box”, to the advanced researcher who wants to generate and test new functionalities and parameters of GF algorithm. The toolbox and its documentation are freely available for download at https://github.com/mohabedalgani/gflib.git

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