A novel hybrid Salp Swarm Kepler optimization

Versione 1.0.0 (8,29 KB) da 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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Aggiornato 28 lug 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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Ispirato da: SSA: Salp Swarm Algorithm, Kepler Optimization Algorithm (KOA)

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Versione	Pubblicato	Note della release
1.0.0	28 lug 2025		Scarica

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} }