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1)  TWP-PSO
双向并行灾变粒子群优化
1.
Urban loop-road traffic-coordination-control system based on TWP-PSO;
基于双向并行灾变粒子群优化算法的城市环路交通协调控制系统
2)  Bidirectional Parallel Catastrophic-Particle Swarm Optimization(BPC-PSO)
双向并行灾变粒子群优化算法
3)  catastrophe-particle swarm optimization algorithm
灾变粒子群优化算法
1.
A catastrophe-particle swarm optimization algorithm(CPSO) has been developed through introducing a cusp catastrophic model in particle swarm optimization algorithm,the stability and parameters of which have been researched,then the problem on getting in local best point easily has been solved.
在粒子群优化算法中引入灾变策略和模型,开发了灾变粒子群优化算法,解决了基本粒子群算法易陷入局部极小点的缺陷,并将其应用于城市区域交通协调控制信号配时优化。
4)  parallel particle swarm optimization algorithm
并行粒子群优化算法
1.
A new method of cooperative evolution parallel particle swarm optimization algorithm is proposed in this paper.
针对用传统方法难以求解的扩展的超二次曲面三维模型参数拟合问题,提出了用协同演化的并行粒子群优化算法求解的新方法。
5)  double quantum delta particle swarm optimaziton
双量子粒子群优化算法
6)  particle swarm optimization(PSO)
粒子群优化
1.
With the introduction of punishment function and the appropriate modification of objective function,a sintering blending optimization algorithm is proposed,which takes full advantage of the global search ability of particle swarm optimization(PSO) algorithm and the local search ability of conjugate gradient algorithm with constraints.
在引入惩罚函数和对目标函数进行适当修改的前提下,充分利用粒子群优化算法的全局搜索能力和约束条件下共轭梯度法的局部搜索能力,设计了烧结配料优化算法。
2.
In order to solve the problems of low-precision and slow control of the traditional algorithms in the pattern recognition and control of flatness,the neural network trained by hybrid algorithms of particle swarm optimization(PSO) and back propagation(BP)is introduced.
为了解决传统的板形识别与控制中的识别精度低,控制速度慢等问题,将粒子群优化(particle swarm optimization,PSO)算法和误差反传递(back propagation,BP)算法混合训练的PSO-BP网络引入到板形的识别与控制中。
3.
HPSO introduces evolutionary algorithm into particle swarm optimization(PSO),thus can get higher precision and faster convergence spe.
由于电力负荷内在的非线性特性,传统基于梯度搜索的参数辨识技术可能陷入局部最优,影响了预测精度,故提出了混合进化和粒子群优化算法。
补充资料:颜料β粒子群
分子式:
CAS号:

性质:系指由多个原级粒子或二次粒子或它们两者通过比较弱的物理力,以粒子与粒子的棱或角相接触而形成的疏松的集合体,又称颜料三次粒子(pigment tertiary particle),也称颜料β粒子群(β-particle cluster of pigment)。由于粒子间的结合力弱,可通过颜料分散过程使其分离开,故它本身不能在颜料最终应用系统中作为一个实体而存在。是由颜料在制造和贮存过程中产生的。附聚体(agglomerate)与聚集体(aggregate),絮凝体(flocculate)不可混淆。

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