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In the hybrid particle swarm algorithm, the particle swarm algorithm is applied to search in the global solution space.

在混合粒子群算法中,采用粒子群算法进行大范围全局搜索。

Based on the research on the scattering of the Gaussian beam from single sphere, the intensity distributions of LGB beam in different propagation distance is analyzed. Without considering the relationship of scattering and phase shift, the beam coefficients is gained by the solution of scattering cross section, and the LGB is expanded in terms of the vector spherical harmonics as fundamental Gaussian beam. The scattering of the beam with orbital angular momentum from single sphere located on the propagation axis is studied.

在单体球粒子对高斯光束散射研究的基础上,分析了在自由空间不同传输距离LGB光束的光强分布情况,在不考虑散射和波束相移关系的情况下,将LGB作为入射高斯光束,通过对波束入射时的散射衰减截面求解得到波束因子,利用矢量球谐函数对入射高斯波束进行展开,从而研究了单球粒子在在轴条件下对具轨道角动量高斯波束入射的散射问题。

With increasing w, erose particles of RLE translated into sphericity and the diameter of RLE particles decreased.

随着w的增大,RLE粒子的粒径减小,其形态也由不规则的形状转变为球形粒子

These have the mathematical structure of the corresponding one-body equations (Klein-Gordon for two spinless particles, Dirac for two spinor particles) with a relativistically reduced mass.

这些有相应那个身体方程式(克莱因戈登适合二spinless 粒子,迪拉克适合二spinor 粒子)有降低群众的relativistically的数学结构。

The fast MH mutation moves the particles so that their stationary distribution is a target posterior density.

快速MH变异能对粒子进行移动,使得粒子的稳定分布为目标的后验概率密度分布。

The modified particle swarm optimization is utilized to solve the proposed reactive power optimization model; and combining with non–stationary multi-stage assignment penalty function, the reactive power optimization problem is transferred into a problem to solve extreme-value without constraints, thus the calculation accuracy and global convergence ability of MPSO are effectively improved, and power grid company can achieve maximal economic benefit by means of the proposed algorithm.

应用改进粒子群优化算法求解该无功优化模型,并结合动态调整罚函数法将无功优化问题转化成无约束求极值问题,从而有效地提高了改进粒子群优化算法的全局收敛能力和计算精度,使电网公司取得了最大经济效益。

Particle swarm optimization algorithm is a kind of stochastic global optimization technology.

粒子群优化算法是一类随机全局优化的技术,它通过粒子间的相互作用发现复杂搜索空间中的最优区域。

More than 200 subatomic particles have been detected so far, and most appear to have a corresponding iparticle.

至今已经检测到200多种亚原子粒子,大多数都有相应的反粒子

More than 200 subatomic particle s have been detected so far, and most appear to have a corresponding anti particle.

至今已经检测到200多种亚原子粒子,大多数都有相应的反粒子

In this paper,a weight coefficient is introduced into Quantum-behaved Particle Swarm Optimization and an improved QPSO for the parameter optimization of PID controller is proposed.

在分析量子粒子群算法的基础上,在算法中引入了权重系数,提出使用改进的量子粒子群算法优化PID控制器参数。

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但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊!不用提了。提到肉,真是糟透了。

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