A novel hybrid Salp Swarm Kepler optimization

Version 1.0.0 (8.29 KB) by Aykut Fatih GÜVEN

The Hybrid Salp Swarm Kepler Optimization Algorithm (SSAKOA) is a novel metaheuristic designed for solving complex optimization problems.

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Updated 28 Jul 2025

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The Salp Swarm Kepler Optimization Algorithm (SSAKOA) synergistically merges the exploration strength of SSA with the orbital exploitation mechanics of KOA, resulting in a powerful hybrid optimizer. While it is particularly effective for energy optimization problems such as microgrid design and electric vehicle integration, it also performs competitively on general continuous optimization tasks

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Güven, Aykut Fatih. “A Novel Hybrid Salp Swarm Kepler Optimization for Optimal Sizing and Energy Management of Renewable Microgrids with EV Integration.” Energy, vol. 334, Oct. 2025, p. 137696, https://doi.org/10.1016/j.energy.2025.137696.

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Created with R2020a

Compatible with R2020a

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Acknowledgements

Inspired by: SSA: Salp Swarm Algorithm, Kepler Optimization Algorithm (KOA)

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Version	Published	Release Notes
1.0.0	28 Jul 2025		Download

MLA	Güven, Aykut Fatih. “A Novel Hybrid Salp Swarm Kepler Optimization for Optimal Sizing and Energy Management of Renewable Microgrids with EV Integration.” Energy, vol. 334, Oct. 2025, p. 137696, https://doi.org/10.1016/j.energy.2025.137696.
APA	Güven, A. F. (2025). A novel hybrid Salp Swarm Kepler optimization for optimal sizing and energy management of renewable microgrids with EV integration. Energy, 334, 137696. Elsevier BV. Retrieved from http://dx.doi.org/10.1016/j.energy.2025.137696
BibTeX	@article{G_ven_2025, title={A novel hybrid Salp Swarm Kepler optimization for optimal sizing and energy management of renewable microgrids with EV integration}, volume={334}, ISSN={0360-5442}, url={http://dx.doi.org/10.1016/j.energy.2025.137696}, DOI={10.1016/j.energy.2025.137696}, journal={Energy}, publisher={Elsevier BV}, author={Güven, Aykut Fatih}, year={2025}, month=oct, pages={137696} }