SSGARL: hybrid evolutionary computation and reinforcement learning for flexible ligand docking

• Main Authors: Marlisah, Erzam, Yaakob, Razali, Sulaiman, Md. Nasir, Abdul Rahman, Mohd Basyaruddin
• Format: Conference or Workshop Item
• Published: IEEE (IEEExplore) 2014
• Online Access: http://psasir.upm.edu.my/id/eprint/38800/

This paper presents and investigates the performance of a hybrid algorithm of steady-state genetic algorithm and reinforcement learning (SSGARL) in the problem of protein-ligand docking. The performance was measured in terms of the lowest found docking energy, the number of energy evaluation and the...