A novel hybrid Salp Swarm Kepler optimization

版本 1.0.0 (8.3 KB) 作者: 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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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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参考作品: SSA: Salp Swarm Algorithm, Kepler Optimization Algorithm (KOA)

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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} }