搜索资源列表
简单PSO
- pso算法的改进与优化，即对粒子群算法惯性权重w与学习因子参数的约束。(pso algorithm is improved and optimized, that is, the constraints of the inertial weight w and the learning factor parameters of the particle swarm algorithm.)
PSO in noisy
- 噪声环境下的PSO代码实现，包含了PSO-ern、PSO-LA、SPSO等多版本的解决噪声环境粒子群优化问题的算法实现(the pso algorithm under noisy environment)
PSO-Rastrgrin
- It is a basic PSO algorithm to solve function rastrgrin.
pso原始算法
- 粒子群算法，用于解决负载均衡优化问题，该算法编程简单，易于实现(Particle swarm optimization (PSO) algorithm is used to solve the load balancing optimization problem. The algorithm is simple and easy to implement)
微粒群工具箱pso
- pso算法工具箱，使用pso算法处理问题的各种源码，推荐下载(PSO algorithm toolbox, the use of PSO algorithm to deal with the problem of various source code, recommended download)
2017 PSO identification nonlinear
- 2017- An improved PSO algorithm for parameter identification of nonlinear dynamic hysteretic models
PSO
- 粒子群搜索算法的一个简单的仿真程序的编写。根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法。(A simple simulation program of particle swarm search algorithm. According to the principle of PSO algorithm, based on PSO algorithm, a function extreme optimization algorithm based on PSO a
pso
- 单目标优化粒子群算法pso算法的实际应用，可以跑通(The practical application of PSO algorithm can run through)
pso
- 标准pso算法的MATLAB平台实现，应该可以用吧(Standard pso algorithm MATLAB platform, you should be able to use it)
PSO+2
- 基于模拟退火的PSO算法;用一个算列来说明该方法；同步变化学习因子PSO算法,也用一个算例来说明;本人运行测试通过(PSO algorithm based on simulated annealing; a column is used to illustrate the method; I run the test.)
PSO算法IGPSOexe
- PSO algorithm 提供一种积分的程序算法和识别模式 可帮助你更快地计算(PSO algorithm particle swarm optimization algorithm)
PSO-PID参数
- 利用标准粒子群算法优化PID参数，用以控制直流电机模型(The standard particle swarm optimization (PSO) algorithm is used to optimize the PID parameters to control the DC motor model)
pso
- PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的"交叉"(Crossover) 和"变异"(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(The PSO algorithm is a kin
PSO-Python
- 粒子群算法，PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(The particle swarm optimization (PSO) al
pso
- 实现光伏发电系统中MPPT功能，实现PSO算法的m文件(Realize the MPPT function in the photovoltaic power generation system and realize the m file of PSO algorithm.)
sa-pso
- 利用模拟退火算法来接受不好的结果来改善粒子群算法，跳出局部最优陷阱。(The simulated annealing algorithm is adopted to accept the bad results to improve the PSO algorithm and jump out of the local optimal trap.)
PSO
- 一个简化版的粒子群算法代码，适合初步学习使用。内含6个测试函数(Code of a simple PSO algorithm, including six test functions)
PSO
- 一个三维的PSO算法例子 比较好理解(A three-dimensional PSO algorithm example is better understood)
PSO-LSSVM
- PSO-LSSVM算法的matlab实现，利用PSO算法对LSSVM模型的初始参数求解，以期望得到最好的模型。(PSO-LSSVM algorithm is implemented in matlab, and PSO algorithm is used to solve the initial parameters of LSSVM model in order to get the best model.)
PSO
- 标准PSO算法实现，利于初学者了解粒子群优化算法及学习(Standard PSO algorithm for beginners to understand particle swarm optimization algorithm and learning)