HSSOGSA

Version 1.1.1.1 (1,84 MB) von hisham shehadeh
A hybrid sperm swarm optimization and gravitational search algorithm (HSSOGSA)
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Aktualisiert 12. Mai 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:

Zitieren als

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

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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Kompatibilität der MATLAB-Version
Erstellt mit R2021a
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Version Veröffentlicht Versionshinweise
1.1.1.1

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.