A modified firefly-inspired algorithm for global computational optimization
This article compares the original firefly-Inspired algorithm (FA) against two versions suggested by the authors. It was found that by using some modifications proposed in this document, the convergence time of the algorithm is reduced, while increasing its precision (i.e. it is able to converge wit...
- Autores:
-
Amaya, Iván
Cruz, Jorge
Correa, Rodrigo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2014
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/50811
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/50811
http://bdigital.unal.edu.co/44812/
- Palabra clave:
- Firefly algorithm
global optimization
standard test functions.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | This article compares the original firefly-Inspired algorithm (FA) against two versions suggested by the authors. It was found that by using some modifications proposed in this document, the convergence time of the algorithm is reduced, while increasing its precision (i.e. it is able to converge with less error). Thus, it is strongly recommended that these variants are further analyzed, especially for the solution of systems of nonlinear equations, since the exploratory test that has been performed yielded good results (i.e. the roots found by the algorithm were quite close to the theoretical one). Moreover, it was also found that the algorithm is dependent on the swarm size, especially when dealing with planar regions. |
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