搜索资源列表
PSO_B_SA
- 基于模拟退火的粒子群优化算法,示例程序，用于求解复杂函数的极值问题（源程序中的示例函数为Camel，Rastrigrin，Ackley）-PSO_A Alogrithm ,Hybrid particle swarm-based-simulated annealing optimization algorithm
PSO
- 这是粒子群优化算法的实现，求解多模态函数非常使用-This is the Particle Swarm Optimization algorithm to solve multi-modal function is the use of
pso
- 运用粒子群和改进粒子群算法求解典型函数 具有可视化的功能-And improve the use of particle swarm particle swarm algorithm with a typical function of visual function
yizhonggaijindeliziqunsuanfa
- 粒子群算法是求解函数优化问题的一种新的进化算法，然而它在求解高维函数时容易陷入局部最优，为了克服这个缺点，提出了一种新的粒子群算法，算法对粒子的速度和位置更新公式进行了改进，使粒子在其最有位置的基础上进行位置更新，增强了算法的寻优-PSO for solving function optimization problems is a new evolutionary algorithm, but it is easy to solve high-dimensional function into
PSO
- 粒子群算法优化函数求解极值的问题。通过该程序我们可以看到粒子群优化算法的优化过程。-Particle Swarm Optimization for Solving Extremum problems. Through this program we can see that PSO optimization process.
PSO-w
- 函数调用求解三维空间中的最优解 采用惯性权重递变的粒子群算法-use PSO serve the normal problem by transmutation of inertia weight
best-function-of-PSO
- 基于标准的粒子群算法编写了一个简单通用的matlab程序，求解函数最优值-matlab code of standard particle swarm optimization，best value
pso-matlab-
- 粒子群优化算法求解函数的最优解-Particle swarm optimization algorithm for solving the optimal solution of the function
pso_2D
- 粒子群算法求解函数最大值，2D动态显示计算过程-Maximum particle swarm algorithm function
PSO-GA
- 粒子群算法求解多维约束函数极值，并与遗传算法比较。结果发现，粒子群有很好的精度。-A particle swarm optimization algorithm for solving the extreme value of multi dimensional constrained function, and compared with genetic algorithm. The results show that the particle swarm has a good accurac
MHE
- 基于matlab，实现滚动时域估计算法（MHE算法），将估计问题转化为优化问题，基于粒子群算法求解最优解，结合惩罚函数法来处理带约束的优化问题-Optimization based on matlab, realize moving horizon estimation (MHE algorithm), the estimation problem into an optimization problem solving the optimal solution based on particl
PSO
- 粒子群算法 求解函数最优解 函数需要根据自己的要求改写-particle swarm algorithm
粒子群算法
- 三维粒子群算例，在x，y，v三个变量情况下，求解适应函数最小指，惯性因子取为0.8，加速因子分别取2(Example of three dimensional particle swarm optimization)
粒子群算法的寻优算法-非线性函数极值寻优
- 通过粒子群算法对非线性函数的极值进行求解(The extremum of the nonlinear function is solved by particle swarm optimization)
sample3-Griewankan
- 粒子群算法在求解Griewankan函数的应用(the application of pso in Griewankan function)
sample2-Rastrgrin
- 粒子群算法在求解Rastrgrin函数的应用(the application of pso in Rastrgrin function)
粒子群源代码
- 粒子群算法应用于函数极值求解的源程序，读者可以根据需要自行修改所求的函数(Application of particle swarm optimization (PSO) to the source program of function extremum solution)
粒子群算法演示1
- 用罚函数处理约束条件 基本的粒子群算法 求解了一个简单的算例(Using Penalty Function to Handle Constraints Basic Particle Swarm Optimization)
粒子群算法
- 可利用粒子群算法求解函数的最小值，你只需要把你要求的函数放入fitness函数中即可
PSO_byself.m
- 粒子群算法求解约束多目标优化万能matlab代码。本代码是基于有约束条件的寻优问题，采用APSO可以加快寻优的速度，修改参数比较简单，目标函数和上下限根据自身的需要进行改动，，可以实现目标函数的寻优(Particle swarm algorithm for solving constrained multi-objective optimization universal matlab code. This code is based on the optimization problem wi