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 fu
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering. The process that groups si
Considering the source size and location, line loading limits, generator capacity, and bus parameters, the Grey Wolf optimization algorithm determines the optimum solution for the capacity expansion. Thus, an effective method is proposed for power system planning. According to the optimization results ...
Multi-objective Grey Wolf Optimization algorithm was proposed on this basis in 2015. Its updated formula is: (20)Dik=|C∗Xpk−Xik| (21)Xik+1=Xpk−A∗Dik In Eqs. (20) and (21), Xp is the current location of the prey; Xi is the location of the grey wolf particles; C, A...
In this paper, two novel meta-heuristic algorithms are introduced to solve global optimization problems inspired by the Grey Wolf Optimizer (GWO) algorithm
www.nature.com/scientificreports OPEN Development of grey wolf optimization based modified fast terminal sliding mode controller for three phase interleaved boost converter fed PV system K. Krishnaram 1*, T. Suresh Padmanabhan 1, Faisal Alsaif 2 & S. Senthilkumar 3 The...
(ii) the time response function of the model and the restored values are deduced in detail; (iii) the model parameters of the novel model are determined by a well-known algorithm, namely, particle swarm optimization (PSO) [29]; (iv) two examples and a real application are used to ...
The optimal individual is chosen at each iteration to achieve optimization purpose. In summary, the algorithm is summarized as follows, and the first step is to initialize the position. The flowchart is shown in Fig.4. Figure 4 The flow chart of the improved grey wolf algorithm. ...
38 proposed a strengthened hierarchy mechanism, where each grey wolf updates its position based on its social rank, thereby enhancing optimization performance. (3) The balance between exploration and exploitation39. A robust algorithm must strike a balance between exploration and exploitation40. ...
Review of the grey wolf optimization algorithm: variants and applications 2024, Neural Computing and Applications Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review 2024, IEEE Access A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illne...