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机译:混合高勘探粒子群优化算法改善了蛋白质折叠二维疏水极性模型的预测
Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan;
Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan;
Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan;
Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan;
Department of Chemical Engineering &
Institute of Biotechnology and Chemical Engineering I-Shou University Kaohsiung Taiwan;
Institute of Medical Science and Technology National Sun Yat-sen University Kaohsiung Taiwan;
Hybrid algorithm; HHEPSO; particle swarm optimization; hill climbing algorithm; greedy algorithm; protein folding; hydrophobic-polar (HP) model;
机译:混合高勘探粒子群优化算法改善了蛋白质折叠二维疏水极性模型的预测
机译:用于蛋白质折叠预测的改进粒子群算法
机译:一种改进的混合粒子群算法在无线电资源分配经济模型中的应用
机译:改进的粒子群算法在二维蛋白质折叠预测中的应用
机译:群算法的探索:混合粒子群优化和自适应文化模型算法。
机译:培训多层情感与遗传算法和粒子群优化用于建模股价指数预测
机译:基于混合狼包算法和粒子群优化的软件可靠性模型和预测参数估计