搜索资源列表
lo-PSO
- PSO粒子群寻优算法。 Particle swarm optimization With linkage operator-PSO Particle Swarm Optimization algorithm. Particle swarm optimization With linkage oper.html se
psot
- 粒子群算法工具包，包括动态环境的寻优，还可以直观看到粒子的搜索过程-Particle swarm optimization tool kit, including the dynamic environment of the optimization, you can also see the particles in an intuitive search process
psoandqpso
- 基本的粒子群算法以及使用具有量子行为的粒子群算法，能够很好的用于全局的寻优-The basic particle swarm optimization and the use of a quantum particle swarm behavior can be very good for the overall optimization
liziqun
- 粒子群寻优，主要是求函数的极值问题，最小值最大值。-Particle swarm optimization
Pso
- 改进的粒子群优化算法，加入了混沌序列，增强了寻优能力。-Improved particle swarm optimization, joined the chaotic sequence, enhanced optimization capabilities.
posbpoptimization
- 粒子群算法，一个很实用的粒子群算法，超实用，只需改变输入输出数据即可寻优-PSO, a very practical PSO, super practical, you can simply change the input and output data optimization
PSOMutation
- 粒子群优化算法，对于参数寻优，模型拟合较好，欢迎大家下载使用-pso mutation
PSO_base_RBF
- 用粒子群算法来优化RBF。此种方法是把粒子群的全局寻优很好的利用到RBF的优化中。-Particle swarm algorithm to optimize RBF. This method is the global particle swarm optimization to good use to optimize the RBF.
AUV
- 船舶多AUV，粒子群算法，最优寻迹程序，最优个体适应度原理用于船舶-Particle swarm optimization algorithm
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)
单目标粒子群算法寻优
- 利用粒子群优化算法，对单目标函数寻优，寻找函数的极值。(Searching for the extremum of a function by searching the single objective function.)
PSO
- 应用粒子群算法实现目标函数的寻优，最基础的粒子群算法。算法可以直接运行，(Optimization of objective function using PSO Algorithm)
粒子群
- 粒子群寻优代码，可以获得水环境、气象等数值模型的最优值(The optimal value of the numerical model of water environment and meteorology can be obtained by the particle swarm optimization code.)
案例26 粒子群算法的寻优算法-非线性函数极值寻优
- 粒子群算法的寻优算法-非线性函数极值寻优(Optimization algorithm for 26 particle swarm optimization - nonlinear function extremum optimization)
pso1
- 粒子群寻优，根据现场数据寻找合适的模型参数，为了后续控制(Particle swarm optimization, according to the field data to find the appropriate model parameters, for the follow-up control)
pso2
- 粒子群比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(It is more simple than the genetic algorithm rule. It doesn't have the crossover (Crossover) and the Mutati
改进粒子群算法example
- 改进的粒子群算法源代码，可以对多元目标函数进行寻优计算。(Improved source code for particle swarm optimization)
bfpso
- 一种改进的粒子群算法（PSO），寻优效果比较好。可以改了自己用。(An improved particle swarm optimization (PSO) algorithm has better optimization effect. You can change your use.)
粒子群算法的寻优算法
- 一个关于粒子群算法的非线性函数极值寻优代码(A Nonlinear Function Extremum Code for Particle Swarm Optimization)
粒子优化群算法进行配电网络重构
- 配电网网络重构是配电系统极为重要的优化手段.以配电网网损最低为目标函数,结合约束条件确定配电网静态重构的数学模型,提出基于环路编码、分环替代的策略对配电网重构问题进行求解,最后结合IEEE-33节点算例,证明提出的算法,在降低搜索空间,提高寻优成功率和增加寻优效率上都有突出表现.(Distribution network reconfiguration is a very important means of optimization in distribution system. Taking