This waiting is one of the classic manifestations of waste; there's business value trapped inside your code, which cannot be realized until you deploy it to production.
这种等待是经典浪费表现之一;一些隐藏在代码里的业务价值,不到生产部署那一刻都难以体现出来。
Aimed at particle swarm optimization (PSO) algorithm being easily trapped into local minima value in multimodal function, a rotating surface transformation (RST) method was proposed.
针对粒子群优化算法(PSO)应用于多极值点函数易陷入局部极小值,提出旋转曲面变换(RST)方法。
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。
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