搜索资源列表
Peking_University_PSO_All_in_one
- 北京大学计算智能研究室几位计算智能教授的辛苦结晶，包含粒子群算法源代码，PPT文档说明，十五个典型的测试函数，算法注释详尽，简明扼要，是难得的粒子群算法学习材料-Institute of Computational Intelligence Computational Intelligence Research Laboratory Professor of several hard crystal that contains the source code for Particle Swarm
PSO
- 粒子群优化算法，由粒子群算法实现目标函数的最优解-PSO, particle swarm algorithm from the optimal solution of objective function
pso
- 粒子群算法入门程序，对一个示例函数求极大值，程序含有详细注释。-PSO entry procedures to request a sample function of maximum value, the program contains the detailed comments.
BG-PSO
- Bacterial Foraging Orientec by Particle swarm optimization_国外人写的细菌粒子群算法，matlab实现求函数优化-Bacterial Foraging Orientec by Particle swarm optimization
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
multi-ctp1
- 一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。-A comparison based on the threshold criteria for the particle to handle multi-objective
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.
mydisktest
- 粒子群算法的实现源代码，内含帮助文档，根据帮助文档修改自己要用的目标函数-Implementation of particle swarm algorithm source code
QPSO
- 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值-Quantum particle swarm optimization algorithm, using matlab programming, multi-dimensional functions can be optimized for fast, easy to fall into local optimal value
pso_finnal
- 利用粒子群算法优化函数，对Rosenbrock最大值进行优化-Functions using particle swarm optimization, optimization of Rosenbrock maximum
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
function
- 求解函数优化的一种改进的粒子群算法，带有详细注释-a pso algorithm for function optimazaion
pso_ga_RBF_network
- 用MATLAB语言编写的，采用了粒子群算法对RBF神经网络中的参数进行了优化，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Written by MATLAB, using the particle swarm algorithm to RBF neural network parameters were optimized, validated in the test program through the Particle Swarm Optim
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)
simulation
- MATLAB语言程序，利用粒子群算法寻找目标函数的极小值，可移植，比较好用(search for the minumn point of objective function)
PSO-MATLAB
- 实现粒子群算法的功能，有不同的评价函数可供选择，有很好的显示效果(Particle swarm algorithm to achieve the function, there are different evaluation functions to choose from, there is a good display effect)
pso
- 用粒子群优化算法求解函数最大值问题，有收敛曲线图，自己编的程序，附带一个常用的函数(Particle swarm optimization algorithm to solve the problem of maximum function, a convergence curve)
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 toolbox
- 粒子群算法工具箱以及适应度函数实例，实测有效(Particle swarm algorithm toolbox, as well as fitness function example, effective measurement)