搜索资源列表
mopsoC
- 使用C 语言编写的 多目标的粒子群优化算法 MOPSO 可以运行 内含测试函数 可以多功能运行-Using the C language for multi-objective particle swarm optimization algorithm MOPSO can run embedded test function can be multi-run
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
- 这是粒子群优化算法的实现，求解多模态函数非常使用-This is the Particle Swarm Optimization algorithm to solve multi-modal function is the use of
PSO
- 粒子群优化算法，主要是函数优化问题。很使用-Particle Swarm Optimization, mainly function optimization problems. Is the use of
Multiobjective-pso
- 多目标问题的粒子群优化算法实现，毕设时设计的，通过运行！-The issue of multi-objective particle swarm optimization algorithm, when the Bi-based design, by running!
pso3
- 带交叉因子的改进粒子群优化算法，算法用于示解多维无约束优化问题，收敛性强。-With cross-factor improvement of particle swarm optimization algorithm for multi-dimensional solution that unconstrained optimization problem, convergence is strong.
psoRBF
- 粒子群优化算法优化RBF神经网络程序，可用在模式分类等方面-Particle swarm optimization algorithm optimization RBF neural network program can be used in pattern classification, etc.
PSOt
- 粒子群优化算法的源程序和pdf课件，还包括几个应用粒子群算法解决优化函数的例子-Particle swarm optimization algorithm source and pdf courseware
GAPSO
- 这个算法是遗传算法和粒子群优化算法相互结合的matlab程序，优化效率提高很多，不会陷入局部最优-This algorithm is a genetic algorithm and particle swarm optimization algorithm combined with each other matlab program, optimizing the efficiency a lot and will not fall into local optimum
psofeatureselection
- 用粒子群优化算法进行特征选择和SVM参数优化-Using Particle Swarm Optimization algorithm of feature selection and SVM parameter optimization
PSOS_exe
- 粒子群优化算法，采用c语言实现，测试均采用经典函数。-Particle swarm optimization algorithm, using c language implementation, testing, adopt the classic function.
pso_nn_exe
- 粒子群优化算法与神经网络算法结合的一种混合算法，采用c语言实现-Particle swarm optimization algorithm and neural network algorithms for a hybrid algorithm, using c language implementation
pso
- 粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。-PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iter
zlbPSO
- 实现多目标粒子群优化功能，重点是进化因子的选取。-Multi objective particle swarm optimization, with emphasis on evolutionary selection factor.
pso_matlab
- PSO算法，即粒子群优化算法Matlab程序，附详细说明-PSO Particle swarm optimization algorithm
QPSO
- 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值-Quantum particle swarm optimization algorithm, using matlab programming, multi-dimensional functions can be optimized for fast, easy to fall into local optimal value
pso_threshold-segmentation
- 图像阈值分割，为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法-Image segmentation, image segmentation to determine the optimal threshold value, based on particle swarm optimization algorithm proposes a multi-threshold image segmentation
lbest_pso
- 基于环形的领域最优粒子群优化算法，MATLAB源程序-Based on the best areas of the ring particle swarm optimization algorithm, MATLAB source code
matlab
- 探讨了经典的粒子群优化算法，在此基础上，提出了量子粒子群算法（QPSO），该算法具有高效的全局搜索能力-Of the classical particle swarm optimization, on this basis, proposed a quantum particle swarm optimization (QPSO), the algorithm is efficient global search capability
粒子群算法
- 重点利用单因子方差分析方法，分析了粒群优化算法中的惯性权值，加速因子的设置对算法基本性能的影响，给出算法中的经验参数设置