A Hybrid Grasshopper Optimization Algorithm With Invasive Weed for Global Optimization
The grasshopper optimization algorithm (GOA) is a promising metaheuristic algorithm for optimization. In the current study, a hybrid grasshopper optimization algorithm with invasive weed optimization (IWGOA) is proposed. The invasive weed optimization (IWO) and random walk strategy are helpful for i...
Main Authors: | Xiaofeng Yue, Hongbo Zhang, Haiyue Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8949461/ |
Similar Items
-
A Hybrid Grasshopper Optimization Algorithm Applied to the Open Vehicle Routing Problem
by: Valeria Soto-Mendoza, et al.
Published: (2020-04-01) -
Hybridizing Teaching-Learning-Based Optimization With Adaptive Grasshopper Optimization Algorithm for Abrupt Motion Tracking
by: Huanlong Zhang, et al.
Published: (2019-01-01) -
Optimization of Invasive Weed for Optimal Dimensions of Concrete Gravity Dams
by: Vahed Ghiasi, et al.
Published: (2022-10-01) -
Grasshopper Optimization Algorithm: Theory, Variants, and Applications
by: Yassine Meraihi, et al.
Published: (2021-01-01) -
A novel Invasive Weed Optimization with levy flight for optimization problems: The case of forecasting energy demand
by: Mehmet Beşkirli
Published: (2022-04-01)