1) particle swarm optimization
粒群优化
1.
In order to make up for the disadvantage of the genetic algorithm, and optimize the function with better solution, we combine the particle swarm optimization and the algorithm of simulate anneal with the immune genetic arithmetic, and define the strength based on distance measurement.
为了更好地解决函数优化的问题,弥补传统寻优方法的不足,将粒群优化算法以及模拟退火的思想引入免疫遗传算法中,并定义了基于距离测度的个体浓度,并以此来自适应地确定其交叉概率和变异概率,形成一类新的混合免疫遗传算法。
2) particle swarm optimization(PSO)
粒子群优化
1.
With the introduction of punishment function and the appropriate modification of objective function,a sintering blending optimization algorithm is proposed,which takes full advantage of the global search ability of particle swarm optimization(PSO) algorithm and the local search ability of conjugate gradient algorithm with constraints.
在引入惩罚函数和对目标函数进行适当修改的前提下,充分利用粒子群优化算法的全局搜索能力和约束条件下共轭梯度法的局部搜索能力,设计了烧结配料优化算法。
2.
In order to solve the problems of low-precision and slow control of the traditional algorithms in the pattern recognition and control of flatness,the neural network trained by hybrid algorithms of particle swarm optimization(PSO) and back propagation(BP)is introduced.
为了解决传统的板形识别与控制中的识别精度低,控制速度慢等问题,将粒子群优化(particle swarm optimization,PSO)算法和误差反传递(back propagation,BP)算法混合训练的PSO-BP网络引入到板形的识别与控制中。
3.
HPSO introduces evolutionary algorithm into particle swarm optimization(PSO),thus can get higher precision and faster convergence spe.
由于电力负荷内在的非线性特性,传统基于梯度搜索的参数辨识技术可能陷入局部最优,影响了预测精度,故提出了混合进化和粒子群优化算法。
3) particle swarm optimization
粒子群优化
1.
Multi-objective model of tolerance design and its solution with particle swarm optimization algorithm;
公差设计多目标模型及其粒子群优化算法研究
2.
Application of immune particle swarm optimization to job-shop scheduling problem;
免疫粒子群优化算法在车间作业调度中的应用
3.
Bayer material balance computation based on improved particle swarm optimization algorithm;
基于改进粒子群优化技术的拜耳法物料平衡计算
4) PSO
粒子群优化
1.
Transmission Network Optimization Planning Based on Hybrid PSO;
基于混合粒子群优化的电网优化规划
2.
PSO-Based Optimization of Signal Timing and Simulation for Isolated Intersection;
基于粒子群优化的单交叉口信号控制与仿真
3.
An optimal phase-factor selection algorithm for PTS based on PSO in OFDM;
OFDM中基于粒子群优化的PTS相位因子优选算法
5) Particle swarm optimization (PSO)
粒子群优化
1.
Particle swarm optimization (PSO) and filter preprocessing based on hamming window is used to search the registration parameters.
针对互信息在多模态医学图像配准中的局部极值问题,利用海明窗(Hamming窗)进行滤波预处理,并采用粒子群优化(Particle swarm optimization,PSO)方法搜索配准参数。
2.
The particle swarm optimization (PSO) algorithm is used to obtain the optimal solution to the minimization problem (i.
利用粒子群优化(PSO)算法在整个参数空间内并行搜索获得极小值优化问题的最优解(Wiener模型的最优估计),通过对粒子的迭代轨迹进行分析,改进了PSO算法中惯性权重和学习因子的选择。
3.
Due to the disadvantages of the canonical Particle Swarm Optimization (PSO), a new adaptive particle swarm optimization algorithm based on Sigmoid inertia weight was proposed.
针对粒子群优化算法存在的缺点,提出了基于Sigmoid惯性权值的自适应粒子群优化算法。
6) particle swarm optimization
微粒群优化
1.
A modified self-adaptive particle swarm optimization;
一种改进的自适应微粒群优化算法
2.
T-S Fuzzy model of marine diesel engine based on particle swarm optimization;
基于微粒群优化的船舶柴油机T-S模糊模型
3.
Research on Particle Swarm Optimization Oriented to the Overall Search Capability;
基于提高全局搜索能力的微粒群优化研究
补充资料：牛柳粒炒杂菜粒
牛柳粒炒杂菜粒
原料：牛肉半斤、杂菜粒一包.
佐料：盐、糖、酱油、黑椒粉(可因个人口味增减)、油、蒜茸(同黑椒粉)、鸡粉。
过程：
1．将牛肉切粒，若不善刀工者可在市场买的时候就请人代劳。用酱油、油、糖、生粉捞一捞。
2．用少少的油热一下锅，爆香蒜茸；
3．将牛肉粒倒进锅里，中火翻炒一分钟，加入黑椒粉、鸡粉，看牛肉转了颜色就可以装出来，不然牛肉会炒老；
4．不用再加油了，倒入杂菜粒(事先要过水)，翻炒一分钟，加一点盐；
5．加入牛肉粒再翻炒1-2分钟；
6．大功告成，上盘。
温馨提示
杂菜粒在一些比较大型的超市里会有配好一包一包售卖的，可以挑选自己喜欢的口味，做菜前只需将其用开水泡一泡就可以了。油不用放得太多，只在开始放上两锅铲就够了，以健康为主。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。