Isula: A java framework for ant colony algorithms

Ant Colony Optimisation (ACO) algorithms emulate the foraging behaviour of ants to solve optimisation problems. They have proven effective in both academic and industrial settings. ACO algorithms share many features among them. Isula encapsulates these commonalities and exposes them for reuse in the...

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Main Authors:	Carlos Gavidia-Calderon, César Beltrán Castañon
Format:	Article
Language:	English
Published:	Elsevier 2020-01-01
Series:	SoftwareX
Subjects:	Ant colony optimisation Java Travelling salesman problem Image segmentation
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352711019300639

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spelling	doaj-63025ffee443423c9e486bf95c8b99422020-11-25T02:52:03ZengElsevierSoftwareX2352-71102020-01-0111Isula: A java framework for ant colony algorithmsCarlos Gavidia-Calderon0César Beltrán Castañon1University College London, Department of Computer Science, Gower Street, London, UK; Corresponding author.Pontificia Universidad Catolica del Peru, Department of Engineering, Av. Universitaria 1801 San Miguel, Lima, PeruAnt Colony Optimisation (ACO) algorithms emulate the foraging behaviour of ants to solve optimisation problems. They have proven effective in both academic and industrial settings. ACO algorithms share many features among them. Isula encapsulates these commonalities and exposes them for reuse in the form of a Java library. In this paper, we use the travelling salesman problem and image segmentation to showcase the framework capabilities using three top-performing ACO algorithms implemented in Isula. This framework is an open-source project available at GitHub, where is currently the most popular ACO java repository.http://www.sciencedirect.com/science/article/pii/S2352711019300639Ant colony optimisationJavaTravelling salesman problemImage segmentation
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Carlos Gavidia-Calderon César Beltrán Castañon
spellingShingle	Carlos Gavidia-Calderon César Beltrán Castañon Isula: A java framework for ant colony algorithms SoftwareX Ant colony optimisation Java Travelling salesman problem Image segmentation
author_facet	Carlos Gavidia-Calderon César Beltrán Castañon
author_sort	Carlos Gavidia-Calderon
title	Isula: A java framework for ant colony algorithms
title_short	Isula: A java framework for ant colony algorithms
title_full	Isula: A java framework for ant colony algorithms
title_fullStr	Isula: A java framework for ant colony algorithms
title_full_unstemmed	Isula: A java framework for ant colony algorithms
title_sort	isula: a java framework for ant colony algorithms
publisher	Elsevier
series	SoftwareX
issn	2352-7110
publishDate	2020-01-01
description	Ant Colony Optimisation (ACO) algorithms emulate the foraging behaviour of ants to solve optimisation problems. They have proven effective in both academic and industrial settings. ACO algorithms share many features among them. Isula encapsulates these commonalities and exposes them for reuse in the form of a Java library. In this paper, we use the travelling salesman problem and image segmentation to showcase the framework capabilities using three top-performing ACO algorithms implemented in Isula. This framework is an open-source project available at GitHub, where is currently the most popular ACO java repository.
topic	Ant colony optimisation Java Travelling salesman problem Image segmentation
url	http://www.sciencedirect.com/science/article/pii/S2352711019300639
work_keys_str_mv	AT carlosgavidiacalderon isulaajavaframeworkforantcolonyalgorithms AT cesarbeltrancastanon isulaajavaframeworkforantcolonyalgorithms
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Isula: A java framework for ant colony algorithms

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