Symbiotic Learning Grey Wolf Optimizer for Engineering and Power Flow Optimization Problems
This article presents a symbiotic learning-based Grey Wolf Optimizer (SL-GWO) formulated through the introduction of symbiotic hunting and learning strategies to achieve a better trade-off between exploration and exploitation while standing immune to the curse of dimensionality. The proposed method...
Main Authors: | Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9875294/ |
Similar Items
-
Improved Optimal Power Flow for a Power System Incorporating Wind Power Generation by Using Grey Wolf Optimizer Algorithm
by: Sebaa Haddi, et al.
Published: (2018-01-01) -
Enhancing Grey Wolf Optimizer With Levy Flight for Engineering Applications
by: Wu Lei, et al.
Published: (2023-01-01) -
Modified Grey Wolf Optimizer with Parasitism Phase
by: Ali Nadi ÜNAL, et al.
Published: (2021-07-01) -
A New Enhanced Hybrid Grey Wolf Optimizer (GWO) Combined with Elephant Herding Optimization (EHO) Algorithm for Engineering Optimization
by: Zaynab Hoseini, et al.
Published: (2022-10-01) -
A Grey Wolf Optimization Algorithm-Based Optimal Reactive Power Dispatch with Wind-Integrated Power Systems
by: Metin Varan, et al.
Published: (2023-06-01)