This paper presents a novel improved grey wolf optimization (IGWO) to avoid local minimization and premature convergence. In the proposed IGWO algorithm, a nonlinear control parameter based on cosine ...

Gray Wolf Optimization (GWO), inspired by the social hierarchy and cooperative hunting behavior of gray wolves, is a widely used metaheuristic algorithm for solving complex optimization problems in ...

The grey wolf optimizer (GWO) algorithm is a metaheuristic technique inspired by the social behavior and hunting strategies of grey wolves. It can be used to solve complex optimization problems in ...

This repository provides the MATLAB implementation of HGWMPA, a hybrid metaheuristic algorithm combining the exploration capabilities of the Marine Predators Algorithm (MPA) with the exploitation ...

Gray wolf optimization algorithm is an intelligent algorithm based on the social behavior of wolves. Its basic idea is to search and locate prey for wolves with three leadership levels: α, β, and γ ...

Grey Wolf Optimization to Minimize Functions with Continuous Variables. The function returns: 1) An array containing the used value (s) for the target function and the output of the target function f ...

This paper presents a novel improved grey wolf optimization (IGWO) to avoid local minimization and premature convergence. In the proposed IGWO algorithm, a nonlinear control parameter based on cosine ...

This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search ...