粒子群优化方法是一种基于群体智能的新型演化计算技术。
Reactive power optimization of power system based on genetic algorithm and particle swarm optimization algorithm;
优化结果说明在这个例子中粒子群优化有更好的表现，这也说明两种方法在问题的多维空间中搜索最优解的方式不同。
The result shows that particle swarm optimization performs better in this case, which implies that the two methods traverse the problem hyperspace differently.
粒子群优化算法是一种新型、高效的进化计算方法。
Particle swarm optimization algorithm is a new and efficient evolutionary computation method.
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.
经典的粒子群优化算法是一个在连续的定义域内搜索数值函数极值的很有效的方法。
The classical Particle swarm optimization (PSO) algorithm is a powerful method to find the minimum of a numerical function, on a continuous definition domain.
针对粒子群优化算法(PSO)应用于多极值点函数易陷入局部极小值，提出旋转曲面变换(RST)方法。
Aimed at particle swarm optimization (PSO) algorithm being easily trapped into local minima value in multimodal function, a rotating surface transformation (RST) method was proposed.
为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法。
To determine the optimal thresholds in image segmentation, a new multilevel thresholding method based on particle swarm optimization (PSO) is proposed in this paper.
粒子群优化(PSO)算法是其中较新的一种人工生命计算方法。
Particle Swarm Optimization (PSO) is such a new artificial life computation method.
提出了基于混合粒子群优化的时变时滞系统辨识方法。
A method for the identification of time-varying delay systems using hybrid particle swarm optimization is proposed.
针对一种蓄热推钢式加热炉三个加热区的炉温稳态优化问题，本文提出了一种混合粒子群优化(HPSO)方法。
A hybrid particle swarm optimization (HPSO) approach is presented to solve the problem of optimizing the steady-state temperatures of the three zones of a billet reheating furnace.
本文提出了一种基于粒子群优化算法的准确、快速和鲁棒性的点匹配方法。
In this paper, we propose an accurate and robust algorithm for solving the point matching problem using particle swarm optimization.
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。
A particle swarm optimization algorithm for low voltage apparatus blanking part layout optimization was presented.
粒子群算法是基于群集智能、受到人工生命研究结果的启发而提出的一种现代优化方法。
Based on the swarm intelligence, Particle swarm optimization (PSO) algorithm is a kind of modern optimization method inspired by the research of the artificial life.
其中自组织神经网络分类器和粒子群优化支持向量机是本文新设计的两种运动想象EEG分类方法。
The self-organizing neural network classifier and particle swarm optimization-support vector machine were designed by author in this paper to use as classification method of motor imagery EEG.
针对模糊c -均值算法在汽轮机故障诊断中的不足，提出了粒子群优化加权模糊聚类分析的方法。
Aimed at the disadvantages of fuzzy C-means in fault diagnosis of steam turbine set, a weighted fuzzy clustering method based on particle swarm optimization is put forward.
提出了一种应用粒子群优化的非线性系统辨识方法。
A nonlinear system identification method using particle swarm optimization is proposed.
针对采煤机截割路径的规划问题，提出了粒子群三次样条优化的采煤机截割路径规划方法。
According to the cutting path planning problem of the coal shearer, the paper provided the particle swarm triple spline optimization for the cutting path planning method of the coal shearer.
基于粒子群优化算法(PSO)，提出一种求解含动态电压安全约束的预防控制新方法。
A particle swarm optimization (PSO) technique based novel approach for solving the dynamic voltage security constrained preventive control problem is proposed.
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。
A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm.
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.
提出一种采用粒子群优化技术，以系统载荷能力最大化及安装费用最小化为目标，确定TCSC最佳安装位置的方法。
The particle swarm optimization (PSO) technique is applied to find the optimal location of TCSC with maximum system load ability and minimum cost of installation of TCSC.
对于多目标、多约束条件的四连杆机构优化设计，本文提出了一种基于量子粒子群算法求解的设计方法。
This paper puts forward the design method based on Quantum Particle Swarm optimization for optimization design of four bar linkage of multi-objective, multi-constraint conditions.
提出求解水火电力系统短期发电计划的新方法——粒子群优化算法。
This paper presents new approaches to hydro-thermal short-term dispatching problem using different particle swarm optimization(PSO) techniques.
提出了一种基于离散粒子群优化算法求解矩形件排样问题的方法。
A discrete particle swarm algorithm for the rectangular strip packing problem is presented.
提出一种基于粒子群算法优化BP网络的权值调整新方法。
The new model was based on the weight adjustments of error back propagation of BP algorithm and the weight modification using particle swarm optimization (PSO).
提出了基于粒子群优化的齿轮箱传感器优化配置方法，解决多测点传感器的布置和定位问题。
It presents a method of optimum placement of sensors in gearbox based PSO algorithm to solve the problem of sensors layout and localization.
粒子群优化(PSO)算法是一种基于群体智能的启发式搜索方法，应用领域很广。
Particle swarm optimization (PSO) is a heuristic search method based on swarm intelligence, and has been widely used to solve various problems in engineering fields.
粒子群优化(PSO)算法是一种基于群体智能的启发式搜索方法，应用领域很广。
Particle swarm optimization (PSO) is a heuristic search method based on swarm intelligence, and has been widely used to solve various problems in engineering fields.
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