搜索资源列表
TanwPSOprogram
- 正切函数法改进粒子群优化算法，惯性因子是正切函数-Tangent function improved particle swarm optimization algorithm, the inertia factor is tangent
tspso
- 一种带极值扰动的简化粒子群优化算法。算法思想来自中国人，本人自己编的程序-A disturbance with extreme simplification of particle swarm optimization. Algorithm ideas come from the Chinese, I own series of programs
PSO_BP
- 粒子群优化算法应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可-Particle swarm optimization applied to neural network optimization program. No hidden layer is divided into a hidden layer, two hidden layers. You can run DemoTrainPSO.m
pso-optimal-power-flow
- 使用粒子群优化算法对电力系统最有潮流进行优化，比较不错的程序-Using particle swarm optimization algorithm for power system to optimize the power flow, relatively good program
hybrid_PSO
- 一种基于混合策略的改进粒子群优化算法，包括执行程序hpso.m和参数设定hPSOoptions.m两个源文件。代码清晰，易于改进实现。结果显示有效的提高-Hybrid strategy based on improved particle swarm optimization, including the implementation of the program and parameter set hPSOoptions.m hpso.m two source files. Code is c
rastrigin PSOHD
- 混沌粒子群优化算法，及其该算法的简单应用-chaos PSO algorithm（A SIMPLE IMPLEMENTATION OF THE PARTICLE SWARM OPTIMIZATION）
NSGA
- matlab编写的基于粒子群优化算法的多目标优化，可以处理电力系统优化问题-matlab write PSO-based multi-objective optimization, can handle the power system optimization problems
graypso
- 基于灰色理论的粒子群优化算法，在matlab7上进行了试用-Based on Grey Theory PSO, a trial on the matlab7
粒子群算法
- 微粒群算法 目标粒子群优化算法的matlab版本。最经典的多目标进化算法！
粒子群优化算法
- MATLAB算法，粒子束优化算法(IPSO)，同时包含各种算法比较算法，ML、OSIC、IPSO(MATLAB algorithm, particle beam optimization algorithm (IPSO), including a variety of algorithm comparison algorithm, ML, OSIC, IPSO)
psoSVMcgForClass_
- 利用粒子群优化算法提高参数优化能力，避免陷入局部寻优(The particle swarm optimization algorithm is used to improve the optimization ability of parameters and avoid falling into local optimization)
PSO-TSP
- 利用粒子群优化算法求解100个城市的路径优化问题(Particle swarm optimization algorithm is used to solve the routing problem of 100 cities)
MOPSO-master
- 基于多目标粒子群优化算法 仿真程序 给出了三个cost函数，也可自己编写(pso path planning mobile robot)
粒子群PID
- 该代码为基于pso算法优化的PID神经网络的系统控制算法(The code is based on the PSO algorithm optimized PID neural network system control algorithm)
sample2-Rastrgrin
- 粒子群优化算法，通过运用粒子群算法优化函数。(Particle swarm optimization algorithm, through the use of particle swarm optimization function)
PSO
- Python 实现的粒子群优化算法 粒子群算法源于复杂适应系统（Complex Adaptive System,CAS）。CAS理论于1994年正式提出，CAS中的成员称为主体。比如研究鸟群系统，每个鸟在这个系统中就称为主体。主体有适应性，它能够与环境及其他的主体进行交流，并且根据交流的过程“学习”或“积累经验”改变自身结构与行为。整个系统的演变或进化包括：新层次的产生（小鸟的出生）；分化和多样性的出现（鸟群中的鸟分成许多小的群）；新的主题的出现（鸟寻找食物过程中，不断发现新的食物）。(Par
PSO
- 单目标粒子群优化算法，可用于单目标优化计算(Single objective particle swarm optimization)
MOPSO
- 多目标粒子群优化算法，可用于优化多目标计算(multi-objective Particle Swarm Optimization)
PSO
- matlab粒子群优化，性能可靠，代码逻辑清晰(The pso algorithm implemented in matlab with high effecient and clear logic.)
粒子群优化算法以及改进的PSO算法代码matlab
- 粒子群算法及其改进，在原有粒子群算法基础上进行改进，增加免疫算法，使其尽快跳出早熟，收敛更快，结果更优！(Particle swarm optimization (PSO) and its improvement are improved on the basis of the existing particle swarm algorithm, and the immune algorithm is added to make it jump out of premature, faster