Luo Kaiping
IEEE Trans Cybern. 2022 Aug;52(8):7753-7764. doi: 10.1109/TCYB.2021.3049607. Epub 2022 Jul 19.
Inspired by the shape of water flow in nature, a novel algorithm for global optimization, water flow optimizer (WFO), is proposed. The optimizer simulates the hydraulic phenomena of water particles flowing from highland to lowland through two operators: 1) laminar and 2) turbulent. The mathematical model of the proposed optimizer is first built, and then its implementation is described in detail. Its convergence is strictly proved based on the limit theory. The parametric effect is investigated. The performance of the proposed optimizer is compared with that of the related metaheuristics on an open test suite. The experimental results indicate that the proposed optimizer achieves competitive performance. The proposed optimizer was also successfully applied to solve the spacecraft trajectory optimization problem.
受自然界水流形态的启发，提出了一种用于全局优化的新算法——水流优化器（WFO）。该优化器通过两个算子模拟水粒子从高地流向低地的水力现象：1）层流和2）湍流。首先建立了所提出优化器的数学模型，然后详细描述了其实现过程。基于极限理论严格证明了其收敛性。研究了参数效应。在一个开放测试套件上，将所提出优化器的性能与相关元启发式算法的性能进行了比较。实验结果表明，所提出的优化器具有竞争力的性能。所提出的优化器还成功地应用于解决航天器轨道优化问题。
