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)
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Official URL: https://dx.doi.org/10.1145/3067695.3082471 |
Abstract
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 https://github.com/febo/myra.
Item Type: | Book section |
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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: | https://kar.kent.ac.uk/id/eprint/62289 (The current URI for this page, for reference purposes) |
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