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Isula: A java framework for ant colony algorithms

Gavidia-Calderon, C; Beltrán Castañon, C; (2020) Isula: A java framework for ant colony algorithms. SoftwareX , 11 , Article 100400. 10.1016/j.softx.2020.100400. Green open access

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Abstract

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.

Type: Article
Title: Isula: A java framework for ant colony algorithms
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.softx.2020.100400
Publisher version: http://dx.doi.org/10.1016/j.softx.2020.100400
Language: English
Additional information: This article is under a Creative Commons license (https://creativecommons.org/licenses/by/4.0/)
Keywords: Ant colony optimisation, Java, Travelling salesman problem, Image segmentation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10106596
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