A novel hybrid Salp Swarm Kepler optimization
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
Cite As
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.
Acknowledgements
Inspired by: SSA: Salp Swarm Algorithm, Kepler Optimization Algorithm (KOA)
General Information
- Version 1.0.0 (8.29 KB)
MATLAB Release Compatibility
- Compatible with R2020a
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
