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.
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
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!)
61549803apso
- 标准粒子群算法，改进粒子群算法，希望大家能用上-Standard particle swarm optimization, improved particle swarm algorithm, hope everyone can be on the
liziquan
- 基于粒子群算法的高速公路速度可变控制。可以用来仿真-Based on particle swarm optimization variable speed control of the highway. Simulation can be used to
RandWPSO
- 权重改进粒子群算法中的随机权重法，将标准PSO算法中设定w为服从某种随机分布的随机数，这样一定程度上可从两方面克服w的线性递减所带来的不足-Weights improved particle swarm algorithm in the random weight method, the standard PSO algorithm to set w to obey a random distribution of the random numbers, so to a certain exte
粒子群优化算法
- 几种常见的智能算法代码示例，如clsPSO算法的MATLAB代码(PSO algorithm in intelligent algorithms MATLAB code)
psopt20100414
- pso粒子群MATLAB工具箱直接 安装，类似于遗传算法工具箱。(PSO Particle Swarm MATLAB toolbox installed directly, similar to the genetic algorithm toolbox.)
PSO-bp((matlab
- 实现粒子群算法优化BP神经网络的预测算法(Particle swarm optimization algorithm to optimize the BP neural network prediction 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)
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)
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code优化生产调度matlab
- 利用粒子群优化算法用于生产调度，结果为直观的甘特图(Particle Swarm Optimization (PSO) algorithm is used in production scheduling, and the result is intuitive Gantt chart.)
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
157988_粒子群matlab
- MATLAB粒子群算法的实现。。。。。。。。。。。。。。。。。(THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A