搜索资源列表
mopso-matlab
- 多目标粒子群算法 多目标部分是通过for循环实现的。-Multi-objective particle swarm optimization algorithm for multi-objective in part by recycling achieved.
near_far
- 粒子群算法的多用户检测。希望对智能算法感兴趣的人有用。-Particle Swarm Optimization of Multi-User Detection. I hope the smart people who are interested in a useful algorithm.
liziqunsuanf
- 介绍粒子群算法的多用户检测。里面有四个程序。-Particle Swarm introduced multi-user detection. There are four procedures.
pso.files
- 基于粒子群算法，可以用于函数优化的源代码，用matlab实现-Based on Particle Swarm algorithm, can be used for function optimization of source code, implementation using matlab
pso2
- 基于改进的粒子群算法，可以用来求解函数优化问题-Based on Improved Particle Swarm algorithm, can be used to solve the function optimization problem
pso3
- 有关粒子群算法的源程序，用matlab语言编得，可用于求解函数优化问题-Particle Swarm Optimization on the source, using matlab language was made, can be used to solve the function optimization problem
PSO_2D
- Matlab语言编写的2维粒子群算法进行函数最优化的源代码，并附有AVI视频演示！-2-D particle swarm optimization source code for optimization (with the AVI video!)
PSO
- 很实用的群优化智能算法，计算粒子群算法的源代码，所需优化的目标函数命名为fitness即可。-a partical swarm algorithm
混合粒子群算法原始
- 采用混合粒子群算法求解tsp问题MATLAB仿真(Hybrid particle swarm optimization (PSO) algorithm for MATLAB simulation of TSP problem)
粒子群算法优化PID参数实例1
- 粒子群算法优化PID参数实例+matlab代码学习研究(Optimization of PID parameters by particle swarm optimization)
粒子群算法
- 简述了数学建模粒子群算法实例，并用MATLAB实现(The example of mathematical modeling particle swarm optimization (PSO) is introduced, and it is realized by MATLAB)
二维粒子群算法的matlab源程序
- 一个实用的二维粒子群算法的matlab源程序(Matlab source program of two dimensional particle swarm optimization)
matlab编写蚁群算法实践
- 基于matlab编写的粒子群算法，用于学习粒子群(Particle swarm optimization based on MATLAB is used to study particle swarm.)
粒子群优化算法代码
- 粒子群算法matlab源程序，换个函数，更改相应的参数就可以在matlab上运行啦(Particle swarm algorithm Matlab source program, change a function, change the corresponding parameters can run on Matlab)
粒子群算法PSO
- 粒子群算法全代码MATLAB程序源代码，全网最全(Particle swarm algorithm full code MATLAB program source code, the whole network is the most complete)
PSO(粒子群)-SA（模拟退火）
- 粒子群算法-模拟退火算法,关于matlab的算法说明(Particle swarm optimization-simulated annealing algorithm)
粒子群算法
- 利用粒子群算法计算某一函数的最大值，直接运行main.m文件即可，fun.m用于计算粒子适用度，目标函数可根据自身需要进行修改。(Use particle swarm algorithm to calculate the maximum value of a function, just run the main.m file directly. Fun.m is used to calculate the applicability of the particles. The objectiv
改进粒子群算法
- 自编改进粒子群算法MATLAB程序，可供初学者使用(Matlab program of improved particle swarm optimization algorithm is compiled by ourselves, which can be used by beginners)
粒子群算法
- 粒子群算法是比较实用易实现的高效进化算法，压缩包中给了详细的算法代码以及相应的例子。(PSO is a good and effective algorithm)
基于混沌自适应粒子群优化的matlab程序
- 文件包括带压缩因子的粒子群算法，权重改进的粒子群算法，自适应权重法，随机权重法，变学习因子的粒子群算法，异步变化的学习因子，二阶粒子群算法，二阶振荡粒子群算法，混沌粒子群算法，混合粒子群算法，杂交粒子群算法，模拟退火算法(Documents including particle swarm algorithm with compression factor, weighting the improved particle swarm algorithm, adaptive weight meth