activity
20182026
most citedOn the prediction of critical heat flux using a physics-informed machine learning-aided framework

182 citations · 442 across the 13 of their papers we have counts for

collaborators
Showing cs.NEShow all

2 papers · 1 filter

cs.NE2024★ 2 cited

Surpassing legacy approaches to PWR core reload optimization with single-objective Reinforcement learning

Paul Seurin, Koroush Shirvan

Optimizing the fuel cycle cost through the optimization of nuclear reactor core loading patterns involves multiple objectives and constraints, leading to a vast number of candidate…

cs.NE2020

Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay

Majdi I. Radaideh, Koroush Shirvan

We propose PESA, a novel approach combining Particle Swarm Optimisation (PSO), Evolution Strategy (ES), and Simulated Annealing (SA) in a hybrid Algorithm, inspired from reinforcem…