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

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

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...

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Bibliographic Details
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/

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