A novel optimization algorithm integrating reinforcement learning (Q-learning) with metaheuristic optimization for path planning.
https://link.springer.com/article/10.1007/s10462-025-11129-6
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Cite As
Mohamed Reda (2026). Q-Spline Multi-Operator Differential Evolution (QSMODE) (https://github.com/MohamedRedaMu/QSMODE-Algorithm), GitHub. Retrieved .
Reda, Mohamed, et al. “A Novel Reinforcement Learning-Based Multi-Operator Differential Evolution with Cubic Spline for the Path Planning Problem.” Artificial Intelligence Review, vol. 58, no. 5, Feb. 2025, https://doi.org/10.1007/s10462-025-11129-6.
General Information
- Version 1.0.0 (5.12 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
