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 i
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...
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年提出。 Tips: •灰狼被认为是顶级猎食者,位于食物链的顶端 ...
This research presents a novel virtual multi-mission search algorithm that synergizes an enhanced Grey Wolf Optimization (GWO) protocol with a Sine-Cosine Approach (SCA). As optimization algorithms gain traction in addressing complex, multifaceted problems, it becomes crucial to enhance their efficacy ...
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...
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。
摘要原文 This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are empl...
Genetic algorithmIn this paper, a hybrid of grey wolf optimization (GWO) and genetic algorithm (GA) has been implemented to minimize the annual cost of hybrid of wind and solar renewable energy system. It was named as hybrid of grey wolf optimization and genetic algorithm (HGWOGA). HGWOGA ...
Grey Wolf Optimization Algorithm (GWO) is a recent population-based bionic algorithm, which is given by Mirjalili16. This algorithm simulates social hunting conduct of grey wolves. In comparison with different meta-heuristic algorithms, the GWO algorithm can be definitely understood as an efficient ...