Three improved particle swarm optimization algorithms are proposed.
提出了三种改进的微粒群算法。
An improved particle swarm algorithm to solve multi-objective problems is proposed.
提出了一个改进的粒子群算法并将其用于解决多目标优化问题。
The proposed model is solved by improved particle swarm optimization (PSO) algorithm.
针对此模型，采用改进粒子群优化算法进行求解。
Alternative use of improved particle swarm optimization neural network BP algorithm weight value.
利用改进粒子群算法替代BP算法优化神经网络的权值系数。
The improved particle swarm optimization (PSO) is used to optimize the PID controller parameters.
应用改进的粒子群优化算法优化PID参数。
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)。
The improved particle swarm optimization algorithm is applied to path planning problem in 3-D space.
将改进粒子群优化算法应用于三维空间路径规划。
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。
The parameters and thresholds of classifiers are optimized by improved Particle Swarm Optimization(PSO) algorithm.
改进的粒子群优化算法全局搜索BP神经网络的权值和阈值。
Improved Particle Swarm Optimization is applied to short-term optimal scheduling of the cascade hydropower plants.
应用改进粒子群算法求解梯级水电站短期优化调度问题。
An improved particle swarm optimization neural network for automatic detection fertility of hatching eggs is presented.
提出了一种基于改进粒子群神经网络进行孵化种蛋成活性自动检测的方法。
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。
On this basis, improved particle swarm optimization based on the magnetic bearing neural network PID control scheme is proposed.
在此基础上，提出基于改进粒子群算法优化的磁轴承神经网络PID控制方案。
At last, the thesis predicts the application prospect of the improved particle swarm optimization and gives some directions of future research.
最后，本文对于改进粒子群算法的应用前景进行了展望，并给出了进一步的研究方向。
Secondly, the improved particle swarm optimization for flying robot for overhead powerline inspection is used to resolve the global path planning issue.
其次，采用一种基于改进粒子群算法的路径规划方法实现了飞行机器人的全局路径规划方法。
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。
The improved particle swarm algorithm based on constriction factors can guarantee the constringency of the algorithm, while the restriction of velocity can be released.
基于收缩因子改进的粒子群算法可以保证算法的收敛性，同时使得速度的限制放松。
In order to solve the divergence phenomenon which produced by the common state estimation methods, a state estimation method based on improved particle swarm algorithm was proposed.
为了解决常用的状态估计方法常易出现的发散现象，提出了基于改进粒子群算法的状态估计。
An improved particle swarm optimization (PSO) algorithm was designed. And a weighted ITAE index of turbine speed error was taken as the fitness function of the improved PSO algorithm.
提出了一种新的改进的粒子群优化算法，并以水轮机转速偏差的加权ITAE指标作为改进粒子群优化算法的适应度函数。
This paper proposes an improved particle swarm algorithm by using the concepts of the swap operator and swap sequence. This algorithm is then applied to solve the traveling salesman problems.
本文在经典粒子群算法的基础上，引入了交换子和交换序的概念，构造了一种新的粒子群优化算法，并把此算法应用于求解旅行商问题。
The results show that the state estimation method based on improved particle swarm algorithm can be the best value, but a longer time, and the bad data can be detected by J(x) detection method.
结果表明基于改进粒子群算法的状态估计可以得到最优值，但时间较长，检测法可以检测出不良数据。
In this paper, the improved particle swarm optimization algorithm for the single level capacitated dynamic lot-sizing problem is presented. The detailed realization of the algorithm is illustrated.
本文提出了用于求解单级多资源约束的生产批量计划问题的改进二进制粒子群算法，阐明了算法的具体实现过程。
The economic dispatch of a small microgird example in island mode was optimized by improved particle swarm optimization PSO method, simulation results show the effectiveness of the proposed method.
采用改进粒子群算法对孤岛运行模式下的一个小型的微网系统算例进行研究，仿真计算结果表明了所提方法的有效性。
This paper brings forward the binary improved particle swarm optimization algorithm for decision of loans combinatorial optimization problem, and illustrates the detailed realization of the algorithm.
针对贷款组合优化决策模型的求解问题，论文提出了用于求解该问题的二进制粒子群算法，并阐明了算法的具体实现过程。
A method based on improved binary particle swarm optimization (PSO) is proposed for distribution network reconfiguration with the objective of load balancing.
提出了基于改进的二进制粒子群优化算法、以均衡负荷为目标的配电网重构方法。
As Particle Swarm Optimization (PSO) may easily get trapped in a local optimum, an improved PSO based on adaptive dynamic neighborhood and comprehensive learning named ADPSO was proposed.
为了克服粒子群算法在求解多峰函数时极易陷入局部最优解的缺陷，提出一种基于自适应动态邻居广义学习的改进粒子群算法(ADPSO)。
As Particle Swarm Optimization (PSO) may easily get trapped in a local optimum, an improved PSO based on adaptive dynamic neighborhood and comprehensive learning named ADPSO was proposed.
为了克服粒子群算法在求解多峰函数时极易陷入局部最优解的缺陷，提出一种基于自适应动态邻居广义学习的改进粒子群算法(ADPSO)。
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