Particle swarm optimization is widely used to solve continuous function optimization issue, but its application in discrete combination optimization problems is still relatively few.
粒子群算法在求解连续函数优化问题中取得了广泛的应用，但是其在离散的组合优化问题中的运用还比较少。
The proposed algorithm is a combination of the partition sampling technique and hypothesis calculations with the particle filter.
这种新的贝叶斯滤波算法是粒子滤波器与划分采样技术和假设计算的有机结合。
With the geometric information in combination with null-field, T-matrix of arbitrary- shaped particle can be found.
将几何信息导入零场方程得到任意粒子的散射的T矩阵。
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