HSSOGSA

Version 1.1.1.1 (1.84 MB) by hisham shehadeh
A hybrid sperm swarm optimization and gravitational search algorithm (HSSOGSA)
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Updated 12 May 2021
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A new hybrid optimization algorithm, called ‘‘(HSSOGSA)’’ with the combination of ‘‘gravitational
search algorithm (GSA)’’ and ‘‘sperm swarm optimization (SSO)’’ is proposed. The underlying concepts and ideas behind the proposed algorithm are to combine the capability of exploitation in SSO with the capability of exploration in GSA to synthesize both algorithms’ strength.
Paper: Shehadeh, Hisham A. “A Hybrid Sperm Swarm Optimization and Gravitational Search Algorithm (HSSOGSA) for Global Optimization.” Neural Computing and Applications, Springer Science and Business Media LLC, Mar. 2021, doi:10.1007/s00521-021-05880-4.
The dataset of CEC2017 is available in Dataset.
Another Algorithms are in the following links:

Cite As

hisham shehadeh (2024). HSSOGSA (https://github.com/sh7adeh1990/HSSOGSA/releases/tag/1.1.1.1), GitHub. Retrieved .

Shehadeh, Hisham A. “A Hybrid Sperm Swarm Optimization and Gravitational Search Algorithm (HSSOGSA) for Global Optimization.” Neural Computing and Applications, Springer Science and Business Media LLC, Mar. 2021, doi:10.1007/s00521-021-05880-4.

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MATLAB Release Compatibility
Created with R2021a
Compatible with any release
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Version Published Release Notes
1.1.1.1

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.