Skip to main content

MYRA: A Java Ant Colony Optimization Framework for Classification Algorithms

Otero, Fernando E.B. (2017) MYRA: A Java Ant Colony Optimization Framework for Classification Algorithms. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO Genetic and Evolutionary Computation Conference . ACM, New York, USA, pp. 1247-1254. ISBN 978-1-4503-4939-0. (doi:10.1145/3067695.3082471) (KAR id:62289)

PDF Author's Accepted Manuscript
Language: English
Download (665kB)
[thumbnail of otero-evosoft2017.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL:


This paper introduces MYRA, an open-source Java framework that provides the implementation of several ant colony optimization classification algorithms. The algorithms are ready to be used from the command-line or can be easily called from custom Java code. The framework is implemented using a modular architecture, therefore algorithms can be easily extended to incorporate different procedures and/or use different parameter values. The paper gives particular attention to the common architecture from which the algorithms are built on, highlighting the shared classes among the different implemented algorithms. The source code and documentation of MYRA are available for download at

Item Type: Book section
DOI/Identification number: 10.1145/3067695.3082471
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Fernando Otero
Date Deposited: 14 Jul 2017 11:37 UTC
Last Modified: 09 Dec 2022 04:13 UTC
Resource URI: (The current URI for this page, for reference purposes)
Otero, Fernando E.B.:
  • Depositors only (login required):


Downloads per month over past year