Enhancing Global Optimization through the Integration of Multiverse Optimizer with Opposition-Based Learning
The multiverse optimizer (MVO) is increasingly recognized across various scientific disciplines for its robust search capabilities that enhance decision-making in diverse tasks. Despite its strengths, MVO often encounters limitations due to premature convergence, reducing its overall efficiency. To...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
|
| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2024/6661599 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|