The HRO-GWO algorithm is enhanced by four innovative strategies including dynamical regulation strategy and three search strategies. First, to improve the adaptability of GWO, the dynamical regulation strategy is devised for parameter optimization of GWO. Then, a multi-strategy co-evolution model ...
This algorithm was proposed by Holland in 1992 [13] and simulates Darwnian evolution concepts. The engineering applications of GA were extensively investigated by Goldberg [14]. Generally speaking, the optimization is done by evolving an initial random solution in EAs. Each new Grey Wolf ...
The grey wolf optimization (GWO) algorithm is implemented to determine the optimal switching angles of the proposed control scheme. The Total Harmonic Distortion (THD) objective is selected to be the fitness function to be minimized for improving the quality of the output waveforms. For verification...
hj和gk为平等与不平等约束(equality and inequality constraints) 常见的算法有:Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Genetic Algorithms (GA)等等 算法基本流程 灰狼优化算法(GWO)是一种基于群体的元启发式算法,模拟自然界中狼群的领导阶层和狩猎机制,由Seyedali Mirjalili等人于2014年...
1. 算法流程(continuous gray wolf optimization (CGWO) algorithm.) 2. 基于GWO的特征选择算法 2.1 算法1(bGWO1) 2.2 算法2 bGWO2) 2.3 特征选择算法 1) Fitness=α∗γR(D)+β∗|C−R||C| 其中γR(D) 是在部分特征集 R的分类质量 , C 全部特征集, α∈[0,1],β=1−α。 2) Fit...
Genetic algorithmIn this paper, application of evolutionary intelligence-based Grey Wolf Optimizer (GWO) algorithm has been presented to estimate the optimal parameters of Proportional-Integral-Derivative (PID) controller for load frequency control(LFC) in multi-source single area power network. The ...
Essential parameters for the GWO optimization algorithm are detailed in Table 3, and the parameters for the proposed Conclusion This research presents an innovative approach using a SL/FOISM/C tailored for wind turbine systems, with a particular focus on Doubly Fed Induction Generators (DFIGs) ...
The proposed algorithm is constructed using hybrid whale optimization algorithm and gray wolf optimizer (HWGO) that enhance the performance and reliability of the traditional whale optimization algorithm (WOA). The proposed method enhances the exploitative phase of the WOA using a leadership hierarchy ...
参考文献: KAU的云实验台k:超详细 | 灰狼优化算法原理及其实现(Matlab)仅供交流学习参考,商业转载请联系作者获得授权,非商业转载请注明出处。如有侵权,请联系作者删除。
The optimal scheduling problem of integrated energy system (IES) has the characteristics of high-dimensional nonlinearity. Using the traditional Grey Wolf Optimizer (GWO) to solve the problem, it is easy to fall into a local optimum in the process of opt