A Multi-Strategy Improved Honey Badger Algorithm for Engineering Design Problems
A multi-strategy improved honey badger algorithm (MIHBA) is proposed to address the problem that the honey badger algorithm may fall into local optimum and premature convergence when dealing with complex optimization problems. By introducing Halton sequences to initialize the population, the diversi...
Saved in:
| Main Authors: | Tao Han, Tingting Li, Quanzeng Liu, Yourui Huang, Hongping Song |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/17/12/573 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on online optimization scheme and deployment of PMSM control parameters based on honey badger algorithm
by: Xiaofeng Zhu, et al.
Published: (2024-11-01) -
Efficient Energy Management System using Honey Badger Algorithm for Smart Agriculture
by: Samuel Omaji, et al.
Published: (2024-07-01) -
Disease detection and classification in pomegranate fruit using hybrid convolutional neural network with honey badger optimization algorithm
by: Sameera P, et al.
Published: (2024-12-01) -
An efficient and resilient energy management strategy for hybrid microgrids inspired by the honey badger's behavior
by: Ahmed A. Shaier, et al.
Published: (2024-12-01) -
Enhancing distribution system performance by optimizing electric vehicle charging station integration in smart grids using the honey badger algorithm
by: Thirumalai Muthusamy, et al.
Published: (2024-11-01)