Binary hybrid particle swarm optimization and gravitational search algorithm (BPSOGSA)

Binary version of the BPSOGSA algorithm
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Updated 22 May 2018

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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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Cite As

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. Retrieved .

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
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Acknowledgements

Inspired by: gsa.m, Gravitational Search Algorithm (GSA)

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