IEEE

Combining Reinforcement Learning and Heuristic Optimization: A Model Based on a Deep Q-Network and Graph Neural Networks for Graph Coloring

Abstract: We present a hybrid approach combining Reinforcement Learning (RL) with the TabuCol, which is a version of tabu search specifically designed for the Graph Coloring Problem (GCP), enhanced by ...
IEEE

Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs

Abstract: This paper proposes an attack graph-based optimization model to enable cybersecure digital manufacturing. Cybersecurity has become imperative as manufacturing systems continue to increase ...