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This submission includes the binary version of hybrid PSOGSA called BPSOGSA to solve binary optimization problems.
The codes are for the following paper:
S. Mirjalili, G.-G. Wang, L. S. Coelho, Binary optimization using hybrid particle swarm optimization and gravitational search algorithm Neural Computing and Applications, In press, 2014, Springer, DOI: http://dx.doi.org/10.1007/s00521-014-1629-6
The original submission for PSOGSA can be found in: http://www.mathworks.com/matlabcentral/fileexchange/35939-hybrid-particle-swarm-optimization-and-gravitational-search-algorithm--psogsa-
And the paper in:
A New Hybrid PSOGSA Algorithm for Function Optimization, in IEEE International Conference on Computer and Information Application(ICCIA 2010), China, 2010, pp.374-377, DOI: http://dx.doi.org/10.1109/ICCIA.2010.6141614
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Citar como
Seyedali Mirjalili (2026). Binary hybrid particle swarm optimization and gravitational search algorithm (BPSOGSA) (https://es.mathworks.com/matlabcentral/fileexchange/48314-binary-hybrid-particle-swarm-optimization-and-gravitational-search-algorithm-bpsogsa), MATLAB Central File Exchange. Recuperado .
Agradecimientos
Inspirado por: gsa.m, Gravitational Search Algorithm (GSA)
Información general
- Versión 1.0 (110 KB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
| Versión | Publicado | Notas de la versión | Action |
|---|---|---|---|
| 1.0 |
Links added:
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