Reda Path Planning Benchmark Library 2024 (RP2B24)

Version 1.0.0 (5.12 MB) by Mohamed Reda

A standardized collection of 50 diverse path-planning scenarios designed for benchmarking path-planning algorithms

https://link.springer.com/article/10.1007/s10462-025-11129-6

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Updated 1 Mar 2025

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Cite As

Mohamed Reda (2025). Reda Path Planning Benchmark Library 2024 (RP2B24) (https://github.com/MohamedRedaMu/RP2B24-Benchmark), GitHub. Retrieved November 19, 2025.

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.

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MATLAB Release Compatibility

Created with R2024b

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Version	Published	Release Notes
1.0.0	1 Mar 2025

To view or report issues in this GitHub add-on, visit the GitHub Repository.

MLA	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.
APA	Reda, M., Onsy, A., Haikal, A. Y., & Ghanbari, A. (2025). A novel reinforcement learning-based multi-operator differential evolution with cubic spline for the path planning problem. Artificial Intelligence Review, 58(5). Springer Science and Business Media LLC. Retrieved from http://dx.doi.org/10.1007/s10462-025-11129-6
BibTeX	@article{Reda_2025, title={A novel reinforcement learning-based multi-operator differential evolution with cubic spline for the path planning problem}, volume={58}, ISSN={1573-7462}, url={http://dx.doi.org/10.1007/s10462-025-11129-6}, DOI={10.1007/s10462-025-11129-6}, number={5}, journal={Artificial Intelligence Review}, publisher={Springer Science and Business Media LLC}, author={Reda, Mohamed and Onsy, Ahmed and Haikal, Amira Y. and Ghanbari, Ali}, year={2025}, month=feb }