搜索资源列表
AFSA-matlab.rar
- 鱼群算法之matlab实现,The achievement of fish-swarm algorithm matlab
49636960PSO_PID.rar
- 基于粒子群算法的PID参数设置。其中程序比较先进。,Particle Swarm Optimization Based on the PID parameters. One of the more advanced procedures.
TSP-PSO.rar
- 用混合粒子群算法求解TSP问题，自带GUI界面，共有９中算法，可解决各种TSP问题，效果不错。,Using hybrid particle swarm algorithm to solve TSP problems, bring their own GUI interface, a total of 9 in the algorithm, to resolve the various TSP problems, good results.
pso.rar
- 标准粒子群算法求解非线性方程，用MATLAB实现，并出仿真结果,The standard particle swarm algorithm for solving nonlinear equations, using MATLAB to achieve, and the simulation results
Particle-Swarm-Toolbox.zip
- 另一个matlab环境下pso的工具箱，里边有n个例子,Another matlab environment PSO toolbox, inside there are n examples
matlab-VRP
- 基于混合优化算法的车辆路径问题研究 matlab开发环境-matlab VPR Particle Swarm Optimization,PSO
ESAFSA
- 我这是论文中用到人工鱼群算法，为matlab代码。希望对对大家有用。-This artificial fish-swarm algorithm code in matlab was used in my paper,I hope it is usefull for you.
depso
- 基于差分进化的粒子群优化算法，（全局最优粒子群优化算法）-Based on differential evolution particle swarm optimization, (global optimization PSO)
TSP_Particle
- 在MATLAB中用粒子群算法解决TSP问题。-use the particle swarm optimization(PSO) to solve the TSP problem。
PSO
- 粒子群算法滤波器，用粒子群算法实现了LP滤波器-Particle swarm algorithm filter, particle swarm algorithm with the LP filter
liziqun
- 粒子群程序,是一种有效的优化算法,用于控制-Particle swarm procedure is an effective optimization algorithm is used to control
hybrid_PSO
- 一种基于混合策略的改进粒子群优化算法，包括执行程序hpso.m和参数设定hPSOoptions.m两个源文件。代码清晰，易于改进实现。结果显示有效的提高了SPSO的性能-A hybrid strategy based on improved particle swarm optimization algorithm, including the implementation of procedures and parameters set hpso.m two hPSOoptions.m sou
pso-matlab
- 标准微粒群算法，采用matlab编程实例。-Standard particle swarm optimization using matlab programming examples.
chaper4
- 非常不错的书籍，《微粒群算法》供8章和2个附录，依次上传第4章绪论-Very good books, Particle Swarm Optimization for 8 chapters and two appendices, followed by From Chapter 4 Introduction
GS_CH_PSO1.1_discrete1.0_2007830
- 基于粒子群优化与灰色系统理论的多目标优化程序，很好用-Based on Particle Swarm Optimization and gray system theory of multi-objective optimization process, a very good use
outclpso
- 用于分析带约束问题的输出结果,加上约束的粒子群算法功能有很大改善-Used to analyze the problem with constraint output, coupled with constrained particle swarm optimization function has greatly improved
swarm
- 使用Scilab编写的粒子群算法，例子比较简单，无混沌搜索-Scilab prepared using particle swarm optimization, for example, relatively simple, non-chaotic search
quickparticleswarm
- 改进粒子群算法。较好的全局收敛性。较快的速度。-Improvement of Particle Swarm Optimization. Better global convergence. Faster speed.
swarm
- 粒子群算法详细的程序，埃及人wael korani写的采用粒子群算法（pso）代码调用simulink模型优化pid参数，与大家共享-PID and State Feedback Control of DC Motors
quantum particle swarm
- 量子粒子群的案例，比较新颖的算法，有效的解决局部极小等问题，进行分析学习(Quantum particle swarm, easy case analysis)