通过上述的研究，提出了两种改进的粒子群算法。
Through this research, the paper give two modified particle swarm algorithms.
然后，运用改进的粒子群算法分派并优化配送线路。
Secondly we propose a modified particle swarm optimization to arrange customers visiting sequences for every vehicle.
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。
An improved particle swarm algorithm to solve multi-objective problems is proposed.
结果表明，改进的粒子群算法具有改善早熟现象的优点，且预测效果有所提高。
The results show that the improved PSO has the advantages of improving premature and the prediction effect is raised.
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。
The improved particle swarm algorithm based on constriction factors can guarantee the constringency of the algorithm, while the restriction of velocity can be released.
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。
This paper introduces the principles and characteristics of Particle Swarm Optimization algorithm, and puts forward an improved particle swarm optimization algorithm.
实验证明采用这种改进的粒子群算法解决多约束背包问题切实可行， 搜索效率较高。
The result of this experiment shows that this particle swarm algorithm is available and efficient in solving multi-c…
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。
In this paper, a modified particle swarm optimization algorithm is presented to solve knapsack problem, and the detailed realization of the algorithm is illustrated.
且改进的粒子群算法在模糊神经网络权值的训练中收敛速度和跳出局部最优的能力都要比BP算法更优。
And, in FNN weight training, improved PSO in the convergence rate and the ability to jump out to local optimum algorithm is better than BP.
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。
An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
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。
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。
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.
在求解冷负荷启动中的配电网馈线供电恢复问题时引入了离散粒子群优化算法并对该算法进行了改进。
Here, discrete particle swam optimization algorithm is introduced to solve the problem of optimal restoration of distribution feeders during cold load pickup.
针对不同的网络实际条件，提出一种改进的离散粒子群算法来寻找网络中任意两个节点间的最优路由。
In this paper, a new routing approach based on discrete particle swarm optimization algorithm is briefly discussed to obtain the optimum path between two nodes in the network.
计算实例表明改进型粒子群优化算法大大改善了传统PSO算法的全局收敛性能，解的精度提高了很多。
The results show that IPSO can improve the global convergence performance of traditional PSO greatly, heighten the accuracy of the solution.
实验结果表明，改进后的粒子群算法防止陷入局部最优的能力有了明显的增强。
The experimental result indicates that the modified PSO increases the ability to break away from the local optimum.
并对普通粒子群优化算法进行了改进，提高了优化过程的求解精度和收敛速度。
Furthermore, PSO was modified here to improve the solving precision and convergent rates of optimization procedure.
针对动态自标定的问题，提出了一种改进的基于粒子群优化(PSO)的自标定位置视觉定位算法。
In allusion to the problem of dynamic self-calibration, a novel self-calibrating algorithm for visual position based on particle swarm optimization (PSO) is suggested in this paper.
提出了一种基于带有变异算子的改进粒子群算法对二冷区水量进行优化的新方法。
A novel method based on modified particle swarm optimization (IPSO) with mutation algorithm was proposed to optimize water quantity in secondary cooling process in the continuous slab casting.
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。
On this basis, improved particle swarm optimization based on the magnetic bearing neural network PID control scheme is proposed.
对自适应粒子群算法引入变异算子，并对其进行改进，将其应用到淋巴瘤形态参数的分类问题上。
This paper adds mutation operator to adaptive PSO and apply it in the lymphoma morphology parameter classifier problems.
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。
This paper presents an improved particle swarm optimization algorithm based on P2P streaming media data scheduling method.
由冶金准则及设备约束条件设计优化算法的价值函数，用改进粒子群优化算法以价值函数值最小化为目标，对二冷区各段的水量进行优化。
Value function consists of metallurgical criteria and equipment constraints, the IPSO algorithm applies for optimal of the secondary cooling system aiming at minimize value function.
提出了改进的粒子群优化算法。
In this paper, a modified particle swarm optimization method is proposed.
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。
At last, the thesis predicts the application prospect of the improved particle swarm optimization and gives some directions of future research.
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。
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。
Alternative use of improved particle swarm optimization neural network BP algorithm weight value.
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