pythonalgorithmoptimizationgenetic-algorithmevolutionary-algorithmsant-colony-optimizationdifferential-evolutioncuckoo-searchoptimization-algorithmsparticle-swarm-optimizationnature-inspired-computationartificial-bee-colonysimulated-annealing-algorithmnature-inspired-algorithmshuristicniabioinspiredgrey-wolf-optimizerevolutionary-prog...
Due to the NP-hardness of the above MOLP, we exploit Binary Multi-Objective Grey Wolf Optimization (BMOGWO), a meta-heuristic evolutionary algorithm, to develop a polynomial time solution to the problem, namely WOLVERINE. The experimental results depict that the proposed WOLVERINE system outperforms...
The GWO algorithm works by simulating the social hierarchy and hunting behavior of grey wolves. The algorithm starts with an initial population of grey wolves, where each wolf represents a solution to the optimization problem. The algorithm then updates the positions of the wolves based on their ...
"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...
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 position is randomly generated within a given range. Then, the grey wolf optimization algorithm based on levy flight and mutation mechanism is used to iteratively calculate the optimal position, which is the internal parameters of cameras. The two groups of experimental data were ...
🕸 CNN + 🛍 BoVW + 💼 BoCF + 🐺 Grey Wolf Optimization & Comparision ⚖ - Grv-Singh/Bag-of-Covolutional-Features
This theoretical adjustment enhances the exploration capabilities of the algorithm, making it less likely to get trapped in local optima early in the process. Improved Exploration and Exploitation The Enhanced Grey Wolf Optimization (EGWO) algorithm modified the omega wolf position update which ...
The main goal of this study was the development of a backpropagation neural network (BPNN) with a grey wolf optimization (GWO) algorithm for the quick and accurate prediction of multi-input laser etching parameters (energy, scanning velocity, and number of exposures) and multioutput surface ...
maize seeds; multi-source data; non-destructive testing; random forest; grey wolf optimization algorithm1. Introduction Seeds are the foundation of agriculture and are often referred to as the “chips” of agriculture. As one of the most extensively grown food crops in the world, maize is ...