algorithm. Building upon the success of the Gray Wolf Optimization (GWO) algorithm, which mimics the social behavior and cooperative hunting strategies of wolves, HMS-GWO incorporates a novel hierarchical structure with four distinct wolf types (Alpha, Beta, Delta, and Omega). Each wolf type follo...
Due to NP-hardness of the considered problem, a hybrid bi-objective gray wolf optimization (HBGWO) algorithm is proposed by combining the decomposition framework and the gray wolf optimizer (GWO) metaheuristic. A new solution representation scheme is developed to accommodate the problem characteristic...
However, a multi-objective optimization algorithm aims to optimize many objective functions that usually clash. The multi-objective optimization algorithms give a solution set that has a balance between the objective functions. This set which consists of non-dominated solutions is named Pareto Front (...
Gray Wolf Optimization (GWO)是一种基于群体智能的元启发式算法,用于解决优化问题。它由Qu等人在2015年提出。GWO算法的核心思想是模拟灰狼捕食行为,通过选择、跟随和排斥策略来优化搜索空间。在路径规划问题中,GWO算法可以有效地找到全局最优解或近似最优解。 GWO算法的主要步骤如下: 1. 初始化:随机生成一组粒子(...
Basic gray wolf optimizer GWO is a newly intelligence optimization algorithm proposed by Mirjalili et al.15. GWO is inspired by the prey hunting activities of gray wolves. Gray wolves are social canine animals that live at the top of the food chain, and they adhere to a strict hierarchy of...
Ghobadi, A., Cheraghi, M., Sobhanardakani, S.et al.Groundwater quality modeling using a novel hybrid data-intelligence model based on gray wolf optimization algorithm and multi-layer perceptron artificial neural network: a case study in Asadabad Plain, Hamedan, Iran.Environ Sci Pollut Res29...
UAV-Path-Planning-using-Gray-Wolf-OptimizationPu**ng 上传6.79 KB gwo-optimization-algorithm matlab metaheuristic-algorithms optimization path-planning 该论文提出了一种基于灰狼优化算法的无人机路径规划方法。该算法将无人机路径规划问题转化为目标函数最优化问题,使用灰狼优化算法搜索最优解。具体地,该算法首先...
In this article, a hybrid of particle swarm optimization and gray wolf optimization, named the PSO〨WO algorithm, is proposed for workflow scheduling. The proposed algorithm was tested to reduce the total executing cost (TEC) and total execution time (TET) of the dependent tasks in the cloud ...
And this was used as a guiding method to direct the multi-objective gray wolf optimization algorithm to optimize the basic parameters. The optimization results showed that the NH3 slip rate of the SCR was slightly improved and the denitrification efficiency was increased up to 28 % under ...
For this research, we will be using two meta-heuristic algorithms: Genetic Algorithm (GA) and Gray Wolf Optimization (GWO). Below, we will provide an explanation of both methods. The genetic algorithm (GA) is considered one of the most successful meta-heuristic algorithms due to its effective...