搜索资源列表
displacement
- 基于粒子群优化的最小二乘支持向量机算法，主要用于对数据进行拟合预测-Based on particle swarm optimization least squares support vector machine algorithm, mainly used for data fitting forecast
A-new-particle-swarm-
- 针对基于粒子群优化算法的粒子滤波精度不高，容易陷入局部最优，难以满足目标跟踪的问题-For particle swarm optimization algorithm based on particle filter accuracy is not high, easy to fall into local optimum, it is difficult to meet the target tracking problem
An-improved-variable-
- 一种改进的变参数粒子群优化算法，该方法以进化状态因子计算策略和进化状态估计模型-An improved particle swarm optimization variable parameters, the method to calculate evolutionary strategies and evolutionary state factor model of state estimation
pso-dace-improve
- 粒子群优化的kriging近似建模程序包DACE-PSO，matlab程序，比传统的dace程序设置更小的参数-Kriging particle swarm optimization modeling package DACE-PSO, matlab program, compared with the traditional dace package advantage is: do not determine the Sigma parameters
GS_CH_MOPSO_Grey
- 多目标非线性约束的粒子群算法，采用灰度理论，混沌理论，动态惩罚函数，可针对任何复杂函数进行优化，效果很好-Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good
pso-constraints-multi
- 多目标粒子群算法，最优的解决方案，使用一个外部文件管理，拥塞机制筛选，灰色设计验过滤。-Multi-objective particle swarm algorithm, the optimal solution using an external file management, congestion mechanism screening, gray design posteriori filtering.
pso
- 简单的粒子群优化程序，模拟鸟群飞行时合作，将每只小鸟比作一个粒子。粒子通过自己的历史最优值和所有粒子的最优值来调整自己的速度和位置，从而达到目的地。-Simple particle swarm optimization procedure, the simulation when flying birds, compared each bird to a particle. Particle optimal value through its own history and the optima
zc_DeJong_macpso
- 在普通粒子群优化的基础上引入环境概念，在粒子进行速度及位置的更新之前，先进行粒子与周围环境的比较，选取较优的粒子，从而提高精度-In normal particle swarm optimization is introduced on the basis of environmental concept, particle velocity and position in the update before, first compare particles and the surroundin
weiliqun
- 描述微粒群算法的目录，适合论文，系统描述了微粒群算法大论文过程-Particle Swarm Optimization catalog descr iption for papers
CUDA-PSO-v2.0.tar
- pso cuda PARTICLE SWARM OPTIMISAION for benchmarks functions rosenbrock, sphere, etc
a
- 用粒子群算法解决tsp问题，可以引用数据包-With particle swarm algorithm to solve tsp problem
AI30
- MATLAB 智能算法30个案例分析，这是用MATLAB实现的各种算法包括遗传算法 粒子群，神经网络，极限学习的各种例子(MATLAB intelligent algorithm 30 case analysis, which is implemented using MATLAB algorithms, including genetic algorithms, particle swarm, neural networks, extreme learning examples)
bin
- 基于杂交的混合粒子群算法，结合遗传算法和混合粒子群算法两大优势(Hybrid particle swarm optimization based on hybrid algorithm combines two advantages of genetic algorithm and hybrid particle swarm optimization algorithm)
Smart-Microgrid-PSO
- 直流微电网采用光伏发电，光伏的最大功率点采用粒子群优化算法实现。(The DC microgrid adopts photovoltaic power generation, and the maximum power point of PV is realized by particle swarm optimization (PSO).)
pso1
- 基于粒子群算法的移动机器人路径规划，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。(On path planning problem of particle swarm algorithm matlab code)
my_pso
- 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等 开发的一种新的进化算法(Evolutionary Algorithm - EA)。(Particle swarm optimization (PSO), also known as particle swarm optimization (PSO) or Particle Swarm Optimization (
粒子群多目标-程序
- 一个粒子群多目标算法，带有权重自适应，可以画出相应的pareto前沿(A particle swarm multi-objective algorithm, with weight adaptive, can draw corresponding Pareto frontiers.)
BSO_code
- matlab 天牛群算法，对原始的天牛须算法进行了，将其与例子群算法结合，结果表明优于粒子群算法和天牛须算法。(Matlab longicorn swarm algorithm, the original longicorn whisker algorithm is carried out, and combined with example swarm algorithm, the results show that it is better than particle swarm optim
基本粒子群 - 副本
- 对IEEE33节点系统进行配电网重构，利用基本粒子群迭代优化，采用前推回代计算潮流，有中文注释，是初学者必备的程序教程(Reconfiguration of the distribution network of the IEEE33 node system, using the basic particle swarm iterative optimization, using the pre-push back to the calculation of the trend, with Ch
微电网优化调度
- 利用粒子群算法进行优化调度，以经济性为目标函数，完全可以运行(The particle swarm optimization algorithm is used to optimize the scheduling, which takes the economy as the objective function and can run completely)