Aiming at this problem, naval maintenance system structure is analyzed, maintenance system model is established, PSO is used to optimize the model. 针对这一问题,分析了海军维修保障系统结构,建立了维修保障系统模型,采用微粒群算法对模型进行智能优化。
The2-D array coding method is applied and the corresponding fitness function in PSO is constructed for solving the model. PSO算法采用二维数组编码方法,构造了相应的适应度函数,编制相应的计算机求解程序。
Research on Particle Swarm Optimization in Fuzzy Control of Power System PSO在电力系统模糊控制上的研究
So, we proposed a multi-objective PSO based on adaptive crowding grid ( ACG-MOPSO for short). 鉴于此,提出一种基于自适应拥挤网格的多目标粒子群算法(ACG-MOPSO)。
We also propose to use a hybrid version of PSO embedding a local optimizer to enhance the performance. 我们也建议使用混合动力版本的粒子群优化嵌入局部优化,以提高其性能。
The reasons of premature convergence of Particle Swarm Optimization ( PSO) Algorithm were analyzed. 分析了粒子群优化(PSO)算法易于发生早熟收敛的原因。
Based on multi-objective copper roll production scheduling problem, an improved adaptive PSO algorithm was proposed. 针对多目标铜卷加工生产调度问题,提出一种自适应的改进粒子群优化算法。
It is proved that the performance of improved PSO can solve this problem efficiently. 结果证实,运用改进的粒子群优化算法,可以有效地解决这个问题。
A method to evaluate spatial straightness errors adopting particle swarm optimization ( PSO) is proposed. 提出了一种满足最小区域法的空间直线度误差评价的新方法一粒子群算法。
Image filtering based on modified BP neural network and PSO 基于改进BP神经网络和粒子群优化算法的图像滤波方法的研究
Research on Engineering Structure Optimization Method Based on PSO 基于PSO的工程结构优化方法研究
In order to prove the improved PSO is a efficient algorithm, we compared it with the Genetic algorithm and traditional PSO. 为了证实改进的粒子群优化算法是一种有效的算法,我们将它和遗传算法以及传统的粒子群优化算法进行了对比。
Particle Swarm Optimization ( PSO) algorithm has existed premature convergence for multimodal search problems. 粒子群优化(PSO)算法对于多峰搜索问题一直存在早熟收敛问题。
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。
Computational results show that the Hybrid PSO approach performs considerably well in all instances. 在实验中,对各类不同规模的算例均进行了仿真,验证了该算法的有效性。
In some way, PSO and GA are uniform in updating process. 从某些角度而言,PSO和GA在更新与迭代的过程是统一的。
A new back-analysis method based on ν-SVR and improved PSO algorithm and its application 基于ν-SVR和改进PSO算法的反分析方法及应用
Study on Adaptive Modulation based on GA and PSO 基于遗传算法和微粒群算法的自适应调制研究
Hybrid optimization algorithm maintaining independence of PSO and GA 一种保持PSO与GA独立性的混合优化算法
The biomass gasification process modeling and optimization based on SVM and PSO 基于支持向量机和粒子群算法的生物质气化过程建模与优化
This paper describes a niching multi-objective Particle Swarm Optimization ( PSO) algorithm. 提出一种小生境多目标粒子群优化算法。
A novel automatic registration method based on contour feature points and particle swarm optimization ( PSO) is presented. 提出了一种基于轮廓特征点及利用PSO(粒子群优化)求解多模态医学图像自动配准新方法。
PSO is adopted to optimize and train the WNN for its low requirements and easy employment. PSO由于其易用性和对硬件的低要求而在本文中被做WNN的优化算法。
PSO algorithm for polygonal approximation of digital curves restricted by the solution of reference is proposed. 提出了一种参照解约束下的数字曲线多边形逼近的PSO求解算法。
Research on PSO algorithm in neural network generalization PSO粒子群算法在神经网络泛化能力中研究
Emulation experiments demonstrated that the modified algorithm improves the PSO's global search capability remarkablely. 仿真实验表明,改进的粒子群算法显著提高了PSO算法的全局搜索能力。
I have programmed a cooperative PSO, which is shared as follows. 我自己为协同粒子群算法编写了一小段程序,共享如下。
Aimed at PSO's defect of prematurity, an improved particle swarm optimization ( IPSO) is presented. 针对粒子群算法本身存在早熟的不足,提出了一种改进的粒子群优化算法(IPSO)。
Application of PSO Algorithm in MAV Swarm Parallel Simulation PSO算法在MAV群并行仿真试验中的应用研究