PSO

粒子群算法

常用释义

abbr. 粒子群算法（Particle Swarm Optimization）；专业服务组织（Professional Service Organization）；给养供应处（Provisions Supply Office）；工艺认证（Process Sign-Off）

扩展信息

粒子群优化算法(Particle Swarm Optimization)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，1995 年由Eberhart 博士和kennedy 博士提出，源于对 …

粒子群算法

粒子群算法（PSO）和遗传算法(GA)都是优化算法，都力图在自然特性的基础上模拟个体种群的适应性，它们都采用一定的变 …

微粒群算法

利用微粒群算法（PSO）具有简单、容易实现并且没有许多参数需要调整等优势，提出了一种基于PSO和子空间的离群数据挖 …

微粒群优化算法

提出基于微粒群优化算法(PSO)的隐马尔科夫模型(HMM)训练算法,分别用PSO和量子微粒群优化算法进行HMM的参数估计,以提 …

例句

The experiment results showed that this approach has advantages of both PSO and FLANN, meanwhile it has better precision.

实验结果表明，该方法结合了 PSO 和 FLANN 两者的优点，建模精度高。

Although very easy to implement, this hybrid SM-PSO is an efficient way to locate global optima of continuous multimodal functions.

算法实现简单，具有很高的可靠性，是一种求解多峰连续函数极值的有效方法。

It used to solve the problem that Particle Swarm Optimization(PSO) easily falls into a local extremum.

克服了经典粒子群算法中参数选择问题以及粒子群算法易陷入局部极值问题。

To perform the parallel optimization, the comparison used in tournament selection was employed to compare the searched solutions of the PSO.

采用联赛选择算子比较粒子群算法所搜索到的解。

To this problem, this paper proposed one kind of method to choose the parameters of the SVM by particle swarm optimization algorithm (PSO).

针对此问题，提出一种基于粒子群优化算法的支持向量机参数选择方法。

This variant of PSO enables the diversity of the swarm to be preserved to discourage premature convergence.

由于该方法能够保持群体的多样性，因此可以避免早熟收敛。

This new algorithm applies particle swarm optimization (PSO) to design the CNN templates to identify the edge of a nucleated cell.

该方法运用粒子群优化算法设计 CNN 模板，利用 CNN 对骨髓有核细胞进行边缘检测。

The PSO attribute reduction algorithm ought to improve the efficiency, however, it has the premature convergence problem.

粒子群（PSO）属性约简算法，虽然可提高求解效率，但易陷入局部最优。

Subsequently, this paper focuses on PSO optimization model and its applications in RFID Tags and Antenna Simulation Deployment System.

随后，本文重点介绍了粒子群算法模型及其在 RFID 标签天线仿真部署系统中的应用。

Particle Swarm Optimization (PSO) algorithm is a powerful method to find the extremum of a continuous numerical function.

微粒群优化算法是求解连续函数极值的一个有效方法。

It transformed the parameter selection problem into functional optimization problem by creating a function of the PSO property parameters.

针对特定问题，将 PSO 方法的性能表示成参数的函数，从而将参数选择问题转变成函数优化问题。

Uses multi- populations cooperation optimization algorithm which PSO develops, good article. May have a look to use.

详细说明：使用 PSO 开发的多种群协作优化算法，好文章啊。可以看看采用啊。

Another is to examine faults of asynchronous Motors in terms of BP neural network based on Particle Swarm Optimization(PSO).

二是利用基于粒子群算法（PSO）优化的 BP 神经网络进行异步电机故障诊断。

The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.

实验结果表明该改进微粒群算法可以有效地解决高维数值优化问题。

The computational results show that the PSO is a viable and effective approach to solve the semiconductor furnace batch scheduling problem.

实例计算的结果表明，该算法是解决半导体炉管区调度问题可行且高效的方法。

Aiming to solve out the pre-mature convergence phenomenon, the chaos mutation is introduced into PSO for improving global optimal ability.

混沌变异机制引入到 PSO 算法中，克服了进化过程中出现的早熟收敛现象，改进了 PSO 算法的全局寻优能力；

Then, the problem was solved by particle swarm optimization algorithm (PSO) after elimination of the constraint equations.

然后针对分解后的子问题，利用微粒群优化算法（PSO）求解。

Results show that the improved PSO algorithm has a great improve in global search capability and solution precision.

实验表明改善后的算法的求解精度和全局搜索能力得到较大的提高。

The theoretical analysis and experimental results indicate that the proposed niche PSO algorithm is feasible and effective.

理论分析及实验结果表明，该算法是有效可行的。

Summary of Background Data. PSO is a technique popularized in the lumbar spine primarily for the correction of fixed sagittal imbalance.

研究背景概述：PSO 是一种广泛用于腰椎矢状面失衡矫正的主要技术。

Application examples show that it is feasible to apply the improved PSO to the weight solution of power load combination forecasting model.

通过应用实例证明，将改进的粒子群优化算法应用到电力负荷组合预测模型的权重求解是可行的。

更新时间：2025-08-11 10:58