3 citations · 5 across the 2 of their papers we have counts for
3 papers
A Framework for Knowledge Integrated Evolutionary Algorithms
Ahmed Hallawa, Anil Yaman, Giovanni Iacca +1
One of the main reasons for the success of Evolutionary Algorithms (EAs) is their general-purposeness, i.e., the fact that they can be applied straightforwardly to a broad range of…
Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach
Dominik Sisejkovic, Farhad Merchant, Lennart M. Reimann +3
Logic locking is a prominent technique to protect the integrity of hardware designs throughout the integrated circuit design and fabrication flow. However, in recent years, the sec…
EVO-RL: Evolutionary-Driven Reinforcement Learning
Ahmed Hallawa, Thorsten Born, Anke Schmeink +6
In this work, we propose a novel approach for reinforcement learning driven by evolutionary computation. Our algorithm, dubbed as Evolutionary-Driven Reinforcement Learning (evo-RL…