An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem

An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem

Abstract Engineering design optimization problems present significant challenges due to the complexity of objective functions, which often involve both continuous and discrete design variables, along with multiple constraints. GWO and PSO are well-known heuristic algorithms with efficient search abi...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Engineering problem
Grey wolf optimizer
Particle swarm optimization
CEC_2022 functions
Hybridization
Online Access:https://doi.org/10.1038/s41598-025-02154-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-02154-0

Similar Items