Particle swarm optimization algorithm is a new and efficient evolutionary computation method.
粒子群优化算法是一种新型、高效的进化计算方法。
The global optimal solution is obtained based on chaotic particle swarm optimization algorithm.
基于混沌粒子群优化算法对优化数学模型进行了求解。
Particle swarm optimization algorithm is also adopted to optimize parameters of PID controller.
PID控制器参数由粒子群算法进行优化。
A particle swarm optimization algorithm source code, this is a VB source languages, it is practical.
一种粒子群优化算法源程序，这是一个VB语言编制的源程序，很实用。
An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法。
A particle swarm optimization algorithm for low voltage apparatus blanking part layout optimization was presented.
提出了一种粒子群算法的低压电器冲裁件排样优化问题的求解方法。
This paper presents an improved particle swarm optimization algorithm based on P2P streaming media data scheduling method.
本文提出一种基于改进粒子群算法的P 2 P流媒体数据调度方法。
Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.
说明：基于粒子群的神经网络优化算法的应用，在土壤水分特征曲线中的应用。
Based on PSO, a new PID control method with incomplete derivation based on particle swarm optimization algorithm is proposed.
以P SO算法为基础，提出了一种新的粒子群优化不完全微分pid算法。
A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm.
利用粒子群算法设计了一种冷连轧轧制负荷分配的优化方法。
The particle swarm optimization algorithm and the Ant Colony Optimization are employed to develop a hybrid stochastic searching algorithm.
最后将粒子群算法和禁忌搜索算法思想引入到蚁群算法中，用于求解拉闸限电序位优化问题。
The mutation particle swarm optimization algorithm is employed to determine the constitutive parameters and it is proved to present good performance.
采用变异粒子群优化算法确定了模型参数，并取得了较好的效果。
To avoid the shortcomings of FCM and Particle Swarm Optimization algorithm, new hybrid clustering algorithm based on PSO and FCM algorithm is proposed.
针对模糊c均值算法与粒子群算法的不足，提出了一种基于粒子群算法和模糊c—均值算法的混合聚类算法。
Based on the standard particle swarm optimization algorithm, a new algorithm using uniform design to determining parameters is presented in this paper.
在标准粒子群算法的基础上，针对关键参数经验设置法的局限性，提出了一种新的粒子群算法。
To optimize the damage probability, the particle swarm optimization algorithm (PSO) is adopted to optimize the system parameters, based on above models.
以上述模型为基础，以毁伤概率为优化目标，采用微粒群算法（PSO）对该系统待优化的各参量进行综合优化。
A pheromone-based discrete particle swarm optimization algorithm was proposed borrowing the idea of pheromone refresh mechanism of ant colony algorithm.
借鉴蚁群算法的信息素机制，提出了一种基于信息素机制的离散粒子群算法。
This algorithm can solve the problem of low precision and divergence of basic particle swarm optimization algorithm, so it has higher efficiency of search.
该算法能克服基本微粒群优化算法精度较低，易发散的缺点，有较高的搜索效率。
The proposed method made use of the LSB matching method based on particle swarm optimization algorithm to embed the secret data and maintain image quality.
同时采用基于粒子群优化的LSB替换算法来嵌入隐秘信息，取得了很好的图像质量和嵌入效果。
This paper analyzes the study of particle swarm optimization algorithm in optimization applications, in particular the application of function optimization.
利用粒子群算法求解偏微分方程反问题是本文的研究重点。
To improve the search quality of the standard PSO algorithm for solving high-dimensional function, a dynamic particle swarm optimization algorithm is proposed.
针对基本粒子群优化算法对高维函数优化时搜索精度不高的缺陷，提出了一种动态粒子群优化算法。
This paper incorporates chaos optimization algorithm into the PSO algorithm, and propose a new particle swarm optimization algorithm based on chaos searching (CPSO).
文章把混沌优化搜索技术引入到P SO算法中，提出了基于混沌搜索的粒子群优化算法。
In this paper, a modified particle swarm optimization algorithm is presented to solve knapsack problem, and the detailed realization of the algorithm is illustrated.
本文提出了改进的粒子群算法求解背包问题，阐明了该算法求解背包问题的具体实现过程。
This paper introduces the principles and characteristics of Particle Swarm Optimization algorithm, and puts forward an improved particle swarm optimization algorithm.
介绍基本粒子群优化算法的原理、特点，并在此基础上提出了一种改进的粒子群算法。
To solve the problem that particle swarm optimization algorithm is apt to trap in local optimum, a novel cooperative particle swarm optimization algorithm is proposed.
为了解决基本粒子群算法不易跳出局部最优的问题，提出了一种协同粒子群优化算法。
To solve the problem that particle swarm optimization algorithm is apt to trap in local optimum, a novel cooperative particle swarm optimization algorithm is proposed.
为了解决基本粒子群算法不易跳出局部最优的问题，提出了一种协同粒子群优化算法。
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