pso的例句大全

Research on PSO Algorithm of Task Allocation in Wireless Sensor Network

无线传感器网络任务分配的粒子群优化算法

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PSO schedule algorithm for DAG task model

DAG任务模型的粒子群优化调度算法

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PSO-BP method was presented based on the testing of the battery performance, which used the battery voltage, charge-discharge rate and temperature as the input features parameters of neural network to estimate the battery SOC.

在电池性能测试基础上，提出采用PSO-BP方法，利用电池电压、充放电倍率和温度作为神经网络输入特征参数，估算电池SOC。

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The Deployment and Retrieval Control of the Tethered Satellite Based on the PSO Algorithm

基于粒子群算法的绳系卫星展开与回收控制

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In this article, I improve the basic PSO with the inertia weight, carry on the simulation experiment of PSO-PID and inertia weight PSO-PID at the base of modeling the VAV terminal system, and compare with the results.

本文加入惯性权重来改进基本粒子群算法，在对变风量末端系统建模的基础上，对基本粒子群PID和带惯性权重粒子群PID进行仿真实验，并相比较。

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Application of RBF-PSO in Nonlinear Calibration for Thermocouple Sensor

RBF-PSO在N型热电偶非线性校正中的应用

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While the population size exceed presetting threshold, the population size decrease to original state. Then, to solve discrete optimization problem, PSO algorithm is modified to discrete one.

当种群规模超过预先设置好的阈值时，将种群规模降为初始状态。（2）为求解聚类问题，将PSO算法修改为离散化PSO。

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The two concepts of deviation threshold and collision strength are used to adjust the exploration and exploitation ability of Catfish-PSO algorithm in order to optimize its performance.

算法中引入偏差阈值和冲撞力度两个概念，来调整种群的探测和开发能力，达到优化算法性能的目的。

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Chaotic PSO cascade optimal dispatch algorithm and implement

混沌PSO梯级优化调度算法及实现

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The improved PSO algorithm is tested in two models, to show the effects of improvement and its ability in solving the inverse time overcurrent relay coordination problem when DG units are connected.

通过对两个算例的分析可看到改进算法的效果以及粒子群算法解决分布式电源并网情况下反时限过流保护整定问题的能力。

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Pollen assemblage characters of human disturbed vegetation in arid area in northwestern China Monthly Runoff Forecasting by WANN Model based on PSO

西北干旱区人工扰动植被类型花粉组合特征粒子群小波人工神经网络组合模型的径流预测

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The paper studies the mathematical model of the dynamic reactive optimization and the particle swarm optimization ( PSO).

论文研究了动态无功优化的数学模型和粒子群优化算法。

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Sensitivity analysis, based on the model, for operation variables of hydrogenation reactor determine the optimization scheme, and the improved PSO is used to optimize operation variables.

基于加氢反应器模型对操作变量进行灵敏度分析，确定优化策略，并将改进后的粒子群算法应用于操作变量优化。

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Some insights are revealed. Finally, DDE/ BoR/ 1/ bin and another new PSO algorithm, namely, effectively informed Gaussian particle swarm ( EIGPS), are applied to unequally spaced antenna array synthesis to minimize the peak sidelobe level ( PSLL).

最后，本文将DDE/BoR/1/bin与另一种新的改进PSO算法，即利用有效信息的高斯粒子群（EIGPS）算法，应用于非等间距线性天线阵列综合，最小化天线阵的峰值旁瓣电平（PSLL）。

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The social behavior of PSO algorithm is analysised.

并对微粒群算法进行了社会行为分析。

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The algorithm divides the whole search space into a number of sub-spaces, which are optimized by utilizing the PSO embedded zero search operators.

该算法通过将整个搜索空间分割成若干子空间，在这些子空间上利用嵌入零搜索算子的微粒群算法进行优化。

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Target temperature fuzzy neural network controller based on improved PSO algorithm

基于改进PSO算法的目标温度模糊神经网络控制器

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Solving stochastic expected value models with hybrid intelligent algorithm of based on PSO

基于PSO求解随机期望值模型的混合智能算法

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This paper has four major aspects: ( 1) PSO algorithm solves the TSP in the actual city attractions. There is a discrete PSO algorithm based on the geographical coordinates for TSP application.

本文主要做了四大方面研究：（1）在实际的景点数据中利用PSO算法解决TSP问题，提出一种基于地理坐标的离散PSO算法。

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Experimental statistical methods are same as a discrete PSO algorithm based on the geographical coordinates, and results show that solving value is better than the former. It makes the process simple. The algorithm can effectively balance the PSO search ability.

实验统计方法和基于地理坐标的离散PSO算法的实验一样，结果表明此算法求解出来的解比前者优，且求解过程较为简便，能有效平衡算法的搜索能力不易陷入局部最优解。

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