A novel hybrid Salp Swarm Kepler optimization

バージョン 1.0.0 (8.29 KB) 作成者: 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

引用

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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ヒントを得たファイル: SSA: Salp Swarm Algorithm, Kepler Optimization Algorithm (KOA)

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