trapped in local minima 陷入局部极小
being trapped in local optimum 易于陷入局部极值
trapped in a local minimum 陷入局部极小
Simulated annealing tends to be trapped in local optima, but it also possess powerful fine adjustment ability.
模拟退火算法容易陷入局部最优解,但是具有很强的微调能力。
For complex functions with high dimensions, general particle swarm optimization methods are slow speed on convergence and easy to be trapped in local optima.
对于高维复杂函数,一般粒子群优化算法收敛速度慢,易早熟收敛。
Numerical simulation results show that, compared with QDPSO, it is effective, with strong ability to avoid being trapped in local minima and robust to initial value.
数值实验结果表明,与量子粒子群优化算法相比,该算法效率高、优化性能好,具有较强的避免局部极小能力,对初值具有较强的鲁棒性。
应用推荐