Using the Grey Wolf Aquila Synergistic Algorithm for Design Problems in Structural Engineering
The Aquila Optimizer (AO) is a metaheuristic algorithm that is inspired by the hunting behavior of the Aquila bird. The AO approach has been proven to perform effectively on a range of benchmark optimization issues. However, the AO algorithm may suffer from limited exploration ability in specific si...
Main Authors: | Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Biomimetics |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-7673/9/1/54 |
Similar Items
-
A Dynamic Opposite Learning-Assisted Grey Wolf Optimizer
by: Yang Wang, et al.
Published: (2022-09-01) -
Application of grey wolf algorithm for solving engineering optimization problems
by: Milenković Branislav N., et al.
Published: (2021-01-01) -
Grey Wolf Optimization Algorithm Based on Follow-Controlled Learning Strategy
by: Haojie Zhang, et al.
Published: (2023-01-01) -
Research on Mixed-Strategy Based Grey Wolf Optimization for Gene Expression Classification
by: Yang Wang
Published: (2023-01-01) -
A Random Opposition-Based Learning Grey Wolf Optimizer
by: Wen Long, et al.
Published: (2019-01-01)