Machine learningMathematical Optimization
龙格-库塔优化器
龙格-库塔优化器（RKO）是由Khatri等人于2023年提出的一种元启发式算法，它利用了龙格-库塔方法中的数值积分原理。RKO不依赖于生物学启发，而是将优化建立在微分方程和数值积分的数学原理之上。该算法将优化景观视为一个动态系统，并使用多阶段积分步长来将解向最优值演化。
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来源
- Khatri, A., Kumar, A., & Gaba, G. K. (2023). Runge Kutta optimizer: An efficient approach for solving optimization tasks. Computers and Industrial Engineering, 180, 109201. link ↗
如何引用本页
ScholarGate. (2026, June 3). Runge Kutta Optimizer. ScholarGate. https://scholargate.app/zh/optimization/runge-kutta-optimizer
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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