搜索资源列表
rrpso
- 基于遗传交叉的粒子群优化算法有很好的计算效果-Genetic cross-PSO has good calculation results
EPUS-PSO
- 基于粒子管理器的粒子群算法研究 粒子群优化算法进化-Population Manager of PSO
SelPSOprogram
- 自适应粒子群优化算法,更换目标函数后即可使用-Adaptive particle swarm optimization algorithm, can be used after replacing the objective function
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!
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)
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算法程序
- 粒子群优化算法是一种基于群体智能的演化计算技术。与遗传算法相比,PSO没有遗传算法中的选择(Selection)、交叉(Crossover)、变异(Mutation)等操作,而是通过粒子在解空间追随最优的粒子进行搜索。(Particle Swarm Optimization (PSO) is an evolutionary computing technique based on group intelligence. Compared with the genetic algorithm, P
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)