A Genetic Algorithm (GA) / Discrete Particle Swarm Optimization/ Hybrid (GA-PSO) for nuclear fuel optimization using ML surrogates (DNN, KNN, Random Forest, Ridge) and OpenMC. Optimizes fuel loading patterns for a target k-eff and minimal Power Peaking Factor (PPF).
python machine-learning deep-neural-networks random-forest optimization genetic-algorithm dnn scientific-computing hybrid ridge-regression knn particle-swarm-optimization k-nearest-neighbours gradient-boosting nuclear-engineering reactor-physics openmc surrogate-modeling fuel-optimization reactor-core-design
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Updated
Oct 17, 2025 - Python