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

Binary version of the BPSOGSA algorithm
2,7K download
Aggiornato 22 mag 2018

Visualizza la licenza

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

I have a number of relevant courses in this area. You can enrol via the following links with 95% discount:

*******************************************************************************************************************************************
A course on “Optimization Problems and Algorithms: how to understand, formulation, and solve optimization problems”:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF

A course on “Introduction to Genetic Algorithms: Theory and Applications”
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF
*******************************************************************************************************************************************

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 .

Compatibilità della release di MATLAB
Creato con R2011a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Optimization Toolbox in Help Center e MATLAB Answers
Riconoscimenti

Ispirato da: gsa.m, Gravitational Search Algorithm (GSA)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!