Isula: A java framework for ant colony algorithms

Gavidia-Calderon, Carlos and Beltrán Castañon, César (2020). Isula: A java framework for ant colony algorithms. SoftwareX, 11, article no. 100400.

DOI: https://doi.org/10.1016/j.softx.2020.100400

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.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI

About

• Item ORO ID
• 79718
• Item Type
• Journal Item
• ISSN
• 2352-7110
• Keywords
• Ant colony optimisation; Java; Travelling salesman problem; Image segmentation
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2020 The Authors
• Depositing User
• Carlos Gavidia-Calderon