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...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
IEEE (IEEExplore)
2014
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/38800/ |