搜索资源列表
pso
- 修正过的pso 算法 属于离散型的pso程序，可用于变量筛选，效果不错！-Modified discrete PSO algorithm belonging to the PSO procedure, can be used for variable selection, good results!
crosspso
- 带交叉因子的粒子群MATLAB算法程序，可实现带约束变量的微粒群算法-With cross-factor PSO algorithm MATLAB procedures, can be constrained variable particle swarm optimization
simpelpso
- written by budi santosa to implement modified PSO on single variable function budi_s@ie.its.ac.id based on Engineering Optimization Theory and Practice book by Singiresu S. Rao- written by budi santosa to implement modified PSO on single va
CP
- 粒子群加连续潮流法，能优化变压器分接头，进行多变量优化，使系统非常稳定-PSO plus continuous power flow, transformer taps can be optimized, multi-variable optimization, making the system very stable
Matlab2010PSOAlgo
- Variable Neiborhood PSO Algorithm
pso1
- 某些实际问题的优化目标是求所有的局部最优解, 即求解多峰寻优问题, 为了求解多峰优化问题, 提出了改造的微粒 群优化算法. 尽量减少微粒群算法中的全局因素, 从而增大其局部因素, 同时采用变步长方法增加微粒的多样性. 并给出了该算法 的原理和步骤. 仿真实验表明该算法概念清楚, 计算简单, 具有很好的局部寻优特性, 可应用求解于多峰寻优问题. 另外还给出了几 个运算实例和与其它优化算法的比较.-Some of the practical problems the optimizati
pso-program
- 各种粒子群算法程序，包含基本粒子群，带压缩因子的粒子群算法，权重改进的粒子群算法，变学习因子的粒子群算法，二阶粒子群算法，混沌粒子群算法以及模拟退火的粒子群算法，功能很强大，经过实测可以直接应用-A variety of particle swarm optimization procedures, including elementary particles group with compression factor of the particle swarm algorithm, the w
PSO-and-improved-PSO
- 这是一个包含基本PSO算法和改进PSO算法的程序，包括带压缩因子的PSO，权重改进的PSO，变学习因子PSO，混沌PSO等-This is one that contains the basic PSO algorithm and PSO algorithm to improve the procedures, including with a compression factor of the PSO, the weight of the improved PSO, variable lear
PSO
- 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-File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method,
PSO---Multiple
- File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method, the random weighting method, particle swarm optimization variable learning factor, learning factor of asynchro
GA-and-PSO
- GA遗传算法与PSO离子群组合算法matlab程序，以下是使用本程序的简单介绍与使用步骤 1）修改设计变量个数 NPar变量定义的是设计变量个数，本例为8，使用时需根据自己实际情况进行修改。 2）修改设计变量的上下限 VarLow 与VarHign定义的是设计变量的上下限，使用时需根据自己实际情况进行修改。记住，变量的维数，要与1）变量个数一致哦。 3）修改FunName 变量FunName定义的是优化目标函数值的计算函数，根据自己实际情况改成自己的函数名。 4）修改
PSO-20
- PSO算法两个目标的代码，测试程序是非线性方程组，目标变量为找到MinF（x)-PSO algorithm code two goals, the test program is non-linear equations, the target variable is found MinF (x)
PSO
- 多种策略变权重系数的粒子群优化算法源代码，用于求解复杂函数极值问题。-Multiple strategies variable weight coefficient of particle swarm optimization algorithm source code, is used to solve complex function extremum problems.
PSO
- 动态环境下的粒子群算法研究 动态优化问题是指目标函数随时间连续、缓慢或突然、随机变化的情况。该课题旨在将动态优化问题连续变化的时间变量区间进行任意划分，在得到的每个时间子区间上将动态问题转化为静态问题，针对此静态优化问题设计相应的遗传算法。同时给出一种能自动检测时间变化的应答算子。-Dynamic optimization problem refers to the objective function over time in a row, slow or sudden, random c
PSO
- PSO算法（函数输入为目标函数句柄，变量维度，变量上下界以及算法参数设置结构体）-PSO algorithm (function handle input as the objective function, variable dimensions, variable bounds and parameter setting structure)
TSP-pso
- 自适应离散粒子群算法求解TSP问题，包含有三个基本实例，其中含扰动变量可防止陷入局部最优-Adaptive particle swarm optimization for TSP, contains three basic example, which prevents the disturbance variable containing local optimum
multirobot_pso
- In this work, an algorithm for classical particle swarm optimization (PSO) has been discussed. Also, its codes in MATLAB environment have been included. The e ectiveness of the algorithm has been analyzed with the help of an example of three variab
Path Planning
- In this work, an algorithm for classical particle swarm optimization (PSO) has been discussed. Also, its codes in MATLAB environment have been included. The effectiveness of the algorithm has been analyzed with the help of an example of three varia
PSO程序
- ?本程序在matlab环境下，对粒子群编程，完成对两个变量函数的寻优(In this program, in the MATLAB environment, the particle swarm optimization is used to optimize the two variable functions.)
PSO
- 未来高比例可再生能源电力系统愿景下，具有波动 性和不确定性的风/光等可再生能源作为主要能源供应者，给 电力系统带来了巨大的灵活性需求，考虑单一类型灵活性资 源提供调节能力的规划模型和以净负荷包络线为基础的电源 规划方法将不再适用。引入灵活性指标量化评估源荷储多类 型灵活性资源的调节潜力并作为优化决策变量纳入到规划模 型中(Under the vision of the high penetration renewable energy power systems in the futu