搜索资源列表
pso1
- 粒子群算法实现寻优，利用一具体案例得出寻优结果-Particle swarm optimization algorithm, the use of a specific case of optimization results obtained
PSORastrgrin
- 粒子群算法Rastrgrin实现寻优，利用一具体案例得出寻优结果-Particle swarm optimization algorithm Rastrgrin realized using a specific case optimization results obtained
PSOGriewankan
- 粒子群算法Griewankan实现寻优，利用一具体案例得出寻优结果-Particle swarm optimization algorithm Griewankan realized using a specific case optimization results obtained
pso-path-planning
- 文件是关于粒子群算法求解路径规划的问题，其中包括栅格障碍物环境的建立，粒子群及其改进算法的仿真程序。-Document on particle swarm algorithm path planning issues, including the establishment, PSO obstacle grid environment and improved algorithm simulation program.
Intelligent-algorithm
- 智能算法，包括粒子群，改进粒子群，改进遗传算法等，可用于预测等领域！-Intelligent algorithms, including PSO, improved particle swarm, improved genetic algorithm can be used to predict other fields!
pso
- PSO算法的代码和文章写作。自适应粒子群算法和免疫粒子群算法。-PSO algorithm code and article writing. Adaptive particle swarm optimization algorithm and immune particle swarm optimization.
pso-simple
- 这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单-This program is the most basic particle swarm optimization algorithm, using Matlab to achieve, is very simple
nice
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
pso
- 粒子群算法多目标优化,用于到未知数的迭代优化-this file can used for any complicated functions.
C_PSO
- 粒子群聚类程序 供大家学习参考 粒子群 聚类分析-PSO algorithm is very useful for ones who wants to learn
pso
- 粒子群算法学习包，可以在此基础上有很大改进空间，非常适合初学者-Particle swarm algorithm learning package, can is a great improvement on the basis of the space, very suitable for beginners
multifunction_optimization_use_pso
- 多峰值函数优化中,基本粒子群算法进化后期收敛速度较慢,提出一种具有可控速度因子的改进粒子群算法.-Multimodal function optimization, PSO late evolutionary convergence is slow, with a controllable speed improvements proposed particle swarm optimization factors.
adaptive_dynamic_pso
- 针对标准粒子群算法在进化过程中种群多样性降低而早熟的问题 ,提出一种动态改变惯性权重的自适应粒子群算法.-For PSO population diversity in the evolutionary process and reduce premature problem, a dynamically changing inertia weight adaptive particle swarm optimization.
PSO
- 本文档对粒子群算法进行了详细的说明,可以帮助读者很好地理解粒子群算法-the document describe the PSO algorithm in a detail.
Drawing-Vectorization-References
- 几篇图纸矢量化的论文。基于模板匹配和SVM的草图符号自适应识别方法。基于图形识别的建筑模型三维重建。基于拓扑结构的工程图纸识别方法。基于优化粒子群的NCC模板匹配算法。建筑构件智能识别方法研究。-Vector drawing of several papers.
Particle-Swarm-Optimization
- 粒子群算法在仿真生物群体社会活动的基础上,通过模拟群体生物 相互协同寻优能力,从而构造出一种新的智能优化算法。但粒子群算法 本身来源于生物群体现象,其理论基础并不完备。而且由于其属于随机 的近似优化算法,主要应用于连续区域,因此该算法存在早熟收敛和对 离散性的问题难以应用的缺点。因此,对粒子群算法的理论分析、算法 改进及离散性问题的研究具有重要意义的 -The Research of Basic Theory and Improvement on Particle Swa
PSO-cSharp
- 粒子群算法PSO的简洁版c#程序，主要针对粒子群算法的初学者-Particle Swarm Optimization PSO simple version c# program, mainly for beginners particle swarm algorithm
estimation-extended-Kalman-filter
- 针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。- Extended K
PSO
- 介绍了粒子群优化算法的PPT，多目标优化算法的例子讲解-introduced more details about PSO
MOPSOmatlab
- 多目标粒子群算法（多目标粒子群的基本源代码,两个目标的源代码）-Multi-objective Particle Swarm Optimization