A hybrid sperm swarm optimization and gravitational search algorithm (HSSOGSA)
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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.
Another Algorithms are in the following links:
Cite As
hisham shehadeh (2026). 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.
General Information
- Version 1.1.1.1 (1.84 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 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.
