搜索资源列表
Rosenbrock_PSO
- 基于粒子群优化算法的Rosenbrock测试函数的JAVA源程序-PSO Rosenbrock JAVA
Schwefel_PSO
- 基于粒子群优化算法的Schwefel测试函数的JAVA源程序-PSO Schwefel JAVA
PSO_PDF_source_code
- Three basic code PSO in Java and one in matlab, pdf files format, for english version ..you can use google translator
PSOClustering(1)
- source code of PSO(Particle Swarm optimization)
Particle
- 一个单目标PSO算法，用于粒子群算法的学习-Learning a single goal PSO algorithm for particle swarm algorithm
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
Version2Serie
- PSO for flexible job shop problem in java code
AgentAssistCenter
- 辅助Agent中心，用于Agent任务分配调度并完成PSO算法-Center of auxiliary Agent, used to assign a scheduling Agent task and complete the PSO algorithm
PSO11-20121026
- 粒子群优化算法的示例代码，可以很好解决连续性寻优问题-PSO sample code, can be solved continuous optimization problem
fie_gk72
- The final weight matrix is ??the filter coefficient, Using wavelet denoising thought, Based on piecewise nonlinear weight value Pso algorithm.
ywwvp
- Modeling and simulation pwm rectifier Based on piecewise nonlinear weight value Pso algorithm, Power System Transient Stability Program, can be transient stability.
7303
- K-means clustering algorithm based on the PSO, PLS PLS toolbox, Calculate the multifractal trend fluctuation analysis.
vwjsa
- Comparison of soft threshold and hard threshold and today various threshold calculation method, Based on piecewise nonlinear weight value Pso algorithm, Chaos-based simulated annealing algorithm.
rpsojava
- real particle swarm optimization
JSSPmaster
- proj of jsp module and prog
PSO_Garver6网架规划（直流计及可靠性）
- 采用粒子群算法对GARVER-6节点配网系统进行计及经济性与可靠性的网架规划(Particle Swarm Optimization (PSO) is used to plan the GARVER-6 node distribution network system considering economy and reliability.)
pso
- 实现机组负荷优化分配的粒子群算法MATLAB代码(MATLAB Code of Particle Swarm Optimization for Unit Load Distribution)
粒子群算法源码
- 粒子群算法(PSO)属于群智能算法的一种，是通过模拟鸟群捕食行为设计的。假设区域里就只有一块食物（即通常优化问题中所讲的最优解），鸟群的任务是找到这个食物源。鸟群在整个搜寻的过程中，通过相互传递各自的信息，让其他的鸟知道自己的位置，通过这样的协作，来判断自己找到的是不是最优解，同时也将最优解的信息传递给整个鸟群，最终，整个鸟群都能聚集在食物源周围，即我们所说的找到了最优解，即问题收敛。