搜索资源列表
PSO
- PSO算法,粒子群优化算法,VC界面实现-PSO algorithm, particle swarm optimization algorithm, VC interface
PSO
- PSO(Particle Swarm Optimization 粒子群优化算法),是课程的一个小项目,实现了单机调度排序-PSO (Particle Swarm Optimization Particle Swarm Optimization), is a course in a small project, to achieve a single machine scheduling to sort
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 se
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
pso
- 基本粒子群优化算法(Particle Swarm Optimization作用:求解优化问题-Elementary particle swarm optimization algorithm (Particle Swarm Optimization role: Solving optimization problems
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
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 b
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
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(PSO)解决TSP
- 粒子群优化TSP旅行商问题,可运行,可以在上面改造出关于离散优化,VRP等问题
粒子群
- 粒子群算法优化SVR参数,包括核函数和惩罚函数的优化。(Particle swarm optimization algorithm to optimize the SVR parameters, including kernel function and penalty function optimization.)
粒子群优化算法
- MATLAB算法,粒子束优化算法(IPSO),同时包含各种算法比较算法,ML、OSIC、IPSO(MATLAB algorithm, particle beam optimization algorithm (IPSO), including a variety of algorithm comparison algorithm, ML, OSIC, IPSO)
pso粒子群算法matlab代码
- 粒子群算法,也称粒子群优化算法或鸟群觅食算法,优化算法,用于对目标的最优值算法(optimization algorithm)
pso_segment
- 粒子群优化(PSO)算法是一类随机全局优化技术,它通过粒子间的相互作用发现复杂搜索空间中的最优区域缩短寻找阈值的时间。因此,基于粒子群优化算法的图像分割以粒子群优化算法为寻优工具,建立具有自适应和鲁棒性的分割方法。从而可以在最短的时间内,准确地确定分割阈值。(Particle swarm optimization (PSO) algorithm is a kind of stochastic global optimization te
13种PSO算法以及课件
- 各算法对应的问题如下: PSO 用基本粒子群算法求解无约束优化问题 YSPSO 用带压缩因子的粒子群算法求解无约束优化问题 LinWPSO 用线性递减权重粒子群优化算法求解无约束优化问题 SAPSO 用自适应权重粒子群优化算法求解无约束优化问题 RandWPSO 用随机权重粒子群优化算法求解无约束优化问题 LnCPSO 用学习因子同步变化的粒子群优化算法求解无约束优化问题 AsyLnCPSO