evolutionary computation; iterative methods; learning (artificial intelligence); medical computing; search problems; AutoDock Vina; SSGARL; energy evaluation; flexible ligand docking; hybrid evolutionary computation; iterated local search global optimizer algorithm; protein-ligand docking; reinforcement learning; steady-state genetic algorithm and reinforcement learning; Biological cells; Genetic algorithms; Learning (artificial intelligence); Proteins; Sociology; Statistics; Steady-state; Evolutionary computation; Flexible docking; Genetic algorithm; Local search; Q-learning; Reinforcement learning;
机译:强化学习与进化计算:混合算法调查
机译:柔性配体与柔性受体对接的分子动力学和谐波动力学混合方法
机译:使用强大的进化算法进行灵活的配体对接
机译:SSGARL:柔性配体对接的混合进化计算和加固学习
机译:蛋白质计算和蛋白质-配体对接计算新方法的开发
机译:通过具有柔性配体和柔性靶标的均方根偏差驱动的最小化能量对接至RNA
机译:用于柔性配体对接的进化杂交体:(电子笔记)。