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: Genetic and Evolutionary Computation Conference (GECCO 2017), 15-19 July 2017, Berlin, Germany. (doi:https://doi.org/10.1145/3067695.3082471) (Full text available)

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https://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: Conference or workshop item (Proceeding)
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Computational Intelligence Group
Faculties > Sciences > School of Computing > Data Science
Depositing User: Fernando Otero
Date Deposited: 14 Jul 2017 11:37 UTC
Last Modified: 18 Jul 2017 16:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/62289 (The current URI for this page, for reference purposes)
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