Binary hybrid particle swarm optimization and gravitational search algorithm (BPSOGSA)
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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Cita come
Seyedali Mirjalili (2024). Binary hybrid particle swarm optimization and gravitational search algorithm (BPSOGSA) (https://www.mathworks.com/matlabcentral/fileexchange/48314-binary-hybrid-particle-swarm-optimization-and-gravitational-search-algorithm-bpsogsa), MATLAB Central File Exchange. Recuperato .
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Ispirato da: gsa.m, Gravitational Search Algorithm (GSA)
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BPSOGSA/
Versione | Pubblicato | Note della release | |
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1.0 |
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