1)particle swarm optimization粒子群算法
1.Parameter estimation of the thermal cracking model for heavy oil based on particle swarm optimization;基于粒子群算法的重油热解模型参数估计
2.Evaluation model of underground water quality based on particle swarm optimization;基于粒子群算法的地下水水质评价模型
3.Multi-objective particle swarm optimization approach to solution of fed-batch bioreactor dynamic multi-objective optimization;多目标粒子群算法用于补料分批生化反应器动态多目标优化
英文短句/例句
1.Modifications and Applications of Genetic Algorithm and Particle Swarm Optimization;遗传算法与粒子群算法的改进及应用
2.Particle swarm algorithm was an optimized algorithm based on swarm intelligence.粒子群算法是一类基于群智能的随机优化算法。
3.Research on Blind Source Separation Based on Particle Swarm Optimization and Fish Swarm Algorithm;基于粒子群算法和鱼群算法的盲源分离的研究
4.Multicast Routing Optimization Based on Quantum Particle Swarm Algorithm基于量子粒子群算法的组播路由优化
5.Quantum-behaved particle swarm optimization algorithm for QoS multicast routing量子粒子群算法求解QoS组播路由
6.Study of Particle Swarm Optimizers Based on Population Entropy and Structure;基于种群熵和种群结构的粒子群算法研究
7.Dynamic spatial scheduling approach based on improved particle swarm optimization algorithm改进粒子群算法的动态空间调度方法
8.Double integral research based on PSO基于粒子群算法的二重积分方法研究
9.Numerical Integral Method Research Based on PSO基于粒子群算法的数值积分方法研究
10.Image thresholding segmentation with 2-D Otsu based on particle swarm optimization algorithm基于粒子群算法的二维Otsu阈值分割法
11.Particle Swarm Optimization Algorithm with Random Perturbation Around Convergence Center单个粒子收敛中心随机摄动的粒子群算法
12.NICHE QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION WITH CHAOTIC MUTATION OPERATOR基于混沌变异算子的小生境量子粒子群算法
13.Research on the Reactive Power Optimization Based on Modified Particle Swarm Optimization Algorithm;基于改进粒子群算法的无功优化研究
14.The GM(1,1) Model Based Particle Swarm Optimization and Its Application;基于粒子群算法的GM（1，1）模型及其应用
15.Particle Swarm Optimization Study for Solving Constrained Optimization Problems;求解约束优化问题的粒子群算法研究
16.Particle Swarm Motion Analysis and a Two Stage Particle Swarm Optimizer;粒子群的运动分析及两阶段粒子群优化算法
17.Particle swarm optimization based on immunity spallation operator基于免疫分裂算子的粒子群优化算法
18.Mixed ant colony and particle swarm FPGA placement algorithm蚁群与粒子群混合的FPGA布局算法
相关短句/例句
PSO粒子群算法
1.tPSODock:A program for molecular docking using chemscore method and two - layer particle swarm optimization;tPSODock:基于化学得分函数和两层粒子群算法的计算机分子对接程序
2.The Design of Aircraft s Robust Control Law Based on PSO;基于粒子群算法的飞机鲁棒控制律设计
3.Application of adaptive immune PSO in dynamic reactive power optimization;自适应免疫粒子群算法在动态无功优化中应用
3)particle swarm algorithm粒子群算法
1.Optimization design on the layout of composite material aerofoil structure based on the improved particle swarm algorithm;基于改进粒子群算法的复合材料机翼结构布局优化设计
2.Optimization decomposition methods based on particle swarm algorithm for daily global production indices of mineral process;基于粒子群算法的选矿日综合生产指标优化分解方法
3.Solution on the maximum error of parallel 6-DOF platform using the improved particle swarm algorithm;用改进的粒子群算法求解并联6自由度平台的最大误差
4)Particle swarm optimization algorithm粒子群算法
1.A lymphoma morphology parameter classifier based on particle swarm optimization algorithm;一个基于粒子群算法的淋巴瘤形态参数分类器
2.Solving multidimensional 0-1 knapsack problem by hybrid particle swarm optimization algorithm;混合粒子群算法求解多维背包问题
3.Research on load optimal dispatch among thermal power units based on particle swarm optimization algorithm;基于粒子群算法的火电厂机组负荷优化分配
5)Particle Swarm Optimization(PSO)粒子群算法
1.The Particle Swarm Optimization(PSO) algorithm was used for solving the optimization problem, then the forward position could be obtained.依据并联机构的位置反解模型,给出了求解6-DOF并联坐标测量机位置正解的无约束优化模型,并应用粒子群算法(PSO)对该优化问题进行了求解,由此可将复杂的并联坐标测量机测量建模问题转换为优化问题,从而求得位置正解。
2.The selection of the parameters in particle swarm optimization(PSO) is an important research field.粒子群算法(PSO)中参数的选择是一个重要研究方向,参数的设置常依靠经验来确定,从而造成工作量大且难以得到最优的参数组合,影响了算法的使用。
3.A new boundary mutation strategy,the minimum boundary mutation,is presented based on Particle Swarm Optimization(PSO).提出一种新的粒子群算法(PSO)边界变异策略——最小值边界变异。
6)PSO algorithm粒子群算法
1.Fuzzy K-means document clustering analysis based on PSO algorithm基于粒子群算法的文档模糊均值聚类分析
2.Secondly, this paper describes the basic theory of PSO algorithm and the characteristics of MPSO algorithm.传统的无功优化算法主要有非线性规划法、遗传算法、粒子群算法,可是运用这些算法容易出现收敛速度慢、陷入局部最优解等方面的问题。
3.Simulation results of the MPIDNN controllers based on BP,PSO and CRPSO algorithms indicate that CPSO-based MPIDNN controller is more effective than the other three in controlling the MIMO systems.为实现对非线性多变量系统的有效控制,扩展神经网络的应有范围,本文采用PIDNN神经网络设计了多变量PIDNN神经网络(MPIDNN)控制器,并用本文作者提出的合作粒子群算法(CPSO)取代了传统BP后向传播算法,通过比较MPIDNN_CPSO、MPIDNN_CRPSO、MPIDNN_PSO和MPIDNN_BP4种控制器的控制性能,仿真结果表明,基于CPSO算法的MPIDNN控制器实现了对非线性多变量不对称系统的有效控制。
延伸阅读
轶群1.超群。
