Majdi I Radaideh
Machine Learning for Analysis and Control of Complex Systems
Contact
radaidehmi@ornl.govPublications
Journal: Digital Signal Processing
Journal: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
Other Publications
Radaideh, M. I., Shirvan, K. (2022). PESA: A Hybrid Scalable Evolutionary Algorithm with Experience Share and Replay, Nuclear Engineering and Technology, in press. https://doi.org/10.1016/j.net.2022.05.001
Radaideh, M. I., Du, K., Seurin, P., Seyler, D., Gu, X., Wang, H., & Shirvan, K. (2021). NEORL: NeuroEvolution Optimization with Reinforcement Learning. arXiv preprint arXiv:2112.07057. https://arxiv.org/abs/2112.07057
Radaideh, M. I., Forget, B., Shirvan, K. (2021). Large-scale Design optimization of Boiling Water Reactor Bundles with Neuroevolution, Annals of Nuclear Energy, 160, pp. 108355. https://doi.org/10.1016/j.anucene.2021.108355
Radaideh, M. I., Shirvan, K. (2021). Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications, Knowledge-Based Systems, 217, pp. https://doi.org/10.1016/j.knosys.2021.106836
Radaideh, M. I., Wolvertoon, I., Joseph, J., Tusar, J., Otgonbaatar, U., Roy, N., Forget, B., Shirvan, K. (2021). Physics-based Reinforcement Learning Optimization of Nuclear Assembly Design, Nuclear Engineering and Design, 372, pp. 110966. https://doi.org/10.1016/j.nucengdes.2020.110966
Radaideh, M. I., Pigg, C., Kozlowski, T., Deng, Y., Qu, P. (2020). Neural-based Time Series Forecasting of Loss of Coolant Accidents in Nuclear Power Plants, Expert Systems with Applications, 160, pp. 113699. https://doi.org/10.1016/j.eswa.2020.113699
Radaideh, M. I., Kozlowski, T. (2020). Surrogate Modeling of Advanced Computer Simulations Using Deep Gaussian Processes, Reliability Engineering and System Safety, 195, pp. 106731. https://doi.org/10.1016/j.ress.2019.106731
Radaideh, M. I., Kozlowski, T. (2019). Combining Simulations and Data with Deep Learning and Uncertainty Quantification for Advanced Energy Modeling, International Journal of Energy Research, 43(14), pp. 7866-7890. https://doi.org/10.1002/er.4698
Radaideh, M. I., Borowiec, K., Kozlowski, T. (2019). Integrated Framework for Model Assessment and Advanced Uncertainty Quantification of Nuclear Computer Codes Under Bayesian Statistics, Reliability Engineering and System Safety, 189, pp. 357-377. https://doi.org/10.1016/j.ress.2019.04.020
Radaideh, M. I., Price, D., O’Grady, D., Kozlowski, T. (2019). Advanced BWR Criticality Safety Part I: Model Development, Model Benchmarking, Depletion with Uncertainty Analysis, Progress in Nuclear Energy, 113, pp. 230-246. https://doi.org/10.1016/j.pnucene.2019.01.010