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
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
*******************************************************************************************************************************************
引用格式
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. 检索时间: .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
标签
致谢
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!