Optimizing a Machine Learning Algorithm by a Novel Metaheuristic Approach: A Case Study in Forecasting
Accurate sales forecasting is essential for optimizing resource allocation, managing inventory, and maximizing profit in competitive markets. Machine learning models are being increasingly used to develop reliable sales-forecasting systems due to their advanced capabilities in handling complex data...
Saved in:
| Main Authors: | Bahadır Gülsün, Muhammed Resul Aydin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/12/24/3921 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hyperparameter Tuning of Load-Forecasting Models Using Metaheuristic Optimization Algorithms—A Systematic Review
by: Umme Mumtahina, et al.
Published: (2024-10-01) -
Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework
by: Milos Antonijevic, et al.
Published: (2025-01-01) -
Random Exploration and Attraction of the Best in Swarm Intelligence Algorithms
by: Maria Vargas, et al.
Published: (2024-11-01) -
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach
by: Camilo Chacon Sartori, et al.
Published: (2025-01-01) -
Enhancing laser surface texturing with driving training-based optimization: A metaheuristic approach
by: Ishwer Shivakoti, et al.
Published: (2024-12-01)