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 灰...
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灰狼优化算法(Grey Wolf Optimization, GWO)是一种受灰狼社会行为启发的优化算法,旨在模拟灰狼群体的领导者与成员之间的协作与竞争关系。该算法由Ali Sayed Marjalili提出,通过模拟灰狼的捕食行为来寻找最优解。在实现GWO算法的Matlab代码中,首先需要初始化灰狼群体的位置和速度,然后根据优化目标函数的定义来更新每只灰狼...
"Feature-selection-binary-grey-wolf-optimization(FS-BGWO)是一种基于灰狼优化算法的特征选择方法,旨在解决特征选择问题。该方法通过模拟灰狼群体的社会行为和优良的觅食策略,实现了对特征子集的搜索和优化。在算法执行过程中,灰狼个体利用目标函数评估自身适应度,并通过相互协作与竞争来不断优化特征子集,以提高分类或...
GLOBAL OPTIMIZATIONEXPLORATIONEVOLUTIONINTEGERGrey Wolf Optimizer (GWO) is one of the most important Swarm Intelligence based meta-heuristic algorithm which follows leadership mechanism and well planned hunting strategies among wolves' hierarchy. This paper has introduced a new variant of GWO termed as ...
uavpath-planningtrajectory-optimizationmulti-agent-systemsgwogrey-wolf-optimizer UpdatedApr 13, 2024 MATLAB JingweiToo/Wrapper-Feature-Selection-Toolbox-Python Star257 Code Issues Pull requests This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with ex...
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prey, are implemented. The algorithm is then benchmarked on 29 well-known test functions, and the results are verified by a comparative study with Particle Swarm Optimization Keywords: (PSO), Gravitational Search Algorithm (GSA), Differential Evolution (DE), Evolutionary Programming Optimization ...
Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization proble
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...