搜索资源列表
vbpso
- 粒子群算法的vb源程序，可以自定义算法参数，实现对6个非约束性测试函数极小值的全局优化，动态显示粒子的移动。低维下，优化效果很好。直接解压，无须密码。请多指正。-PSO algorithm vb source, the algorithm can define parameters to achieve the six non-binding function tests minimum of global optimization, dynamic display particle movem
Optimization_of_RBF_Network
- Matlab粒子群算法优化RBF网络 采用了粒子群算法对RBF神经网络中的参数进行了优化，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Matlab PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the test procedures and verified thr
PSOt
- 粒子群算法工具箱，有DEMO程序，可以对16中常见函数测试，并附有神经元网络的训练算法-Particle swarm optimization toolbox, there are DEMO program, you can test for 16 common functions, together with the training algorithm for neural networks
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.
Peking_University_PSO_All_in_one
- 北京大学计算智能研究室几位计算智能教授的辛苦结晶，包含粒子群算法源代码，PPT文档说明，十五个典型的测试函数，算法注释详尽，简明扼要，是难得的粒子群算法学习材料-Institute of Computational Intelligence Computational Intelligence Research Laboratory Professor of several hard crystal that contains the source code for Particle Swarm
simulated-nnealing-spso-algorithm
- 基于模拟退火粒子群算法，算法以goldstein price 函数为测试函数，希望能对各位有所帮助！-simulated nnealing-spso-algorithm
spso-algorithm
- 随机粒子群算法，对标准粒子群算法进行了改进，并以goldstein price函数作为测试函数。-spso algorithm
PSO-test-test-function
- 粒子群算法测试 函数PSO test function-PSO test test function
pso
- 粒子群算法的代码,并且用优化算法给定的标准函数进行测试，参数的选取不是最好的，但具有一定参考性-Particle swarm algorithm of the code, and USES the optimization algorithm given standard function tests, the parameter selection is not the best, but has the certain reference
The-SPSO-testingprocedure
- 基本的粒子群程序，测试四个标准测试函数，画出收敛曲线，验证算法的寻优性能-The basic particle swarm procedure, testing four standard test functions, draw the convergence curve, verify the performance of algorithm optimization
pso
- 粒子群算法及其优化算法，已经运行过。测试函数在fitness.m中添加-pso and so on
Semi-supervised-learning
- 义了一个欧氏距离和监督信息相混合的新的最近邻计算函数，从而将K一均值算法很好地应用于半 监督聚类问题。针对K一均值算法初始质心敏感的缺陷，用粒子群算法的搜索空间模拟聚类的欧氏空间，迭代搜 索找到较优的聚类质心，同时提出动态管理种群的策略以提高粒子群算法搜索效率。算法在UCI的多个数据集 上测试都得到了较好的聚类准确率。-Righteousness of a Euclidean distance and supervision of a mixture of new nearest n
pso_ga_RBF_network
- 用MATLAB语言编写的，采用了粒子群算法对RBF神经网络中的参数进行了优化，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Written by MATLAB, using the particle swarm algorithm to RBF neural network parameters were optimized, validated in the test program through the Particle Swarm Optim
differential-grouping
- 利用差分算法，实现了自动高维度分解的粒子群算法，适合大规模协同进化的自动差分，分解问题规模，是粒子群算法的优化算法，包含测试函数、测试数据。-Using finite difference algorithm, and realized automatic decomposition of high dimension of particle swarm optimization (pso) algorithm, is suitable for large-scale cooperative c
Particle-Swarm
- 基于Pareto支配的多目标粒子群算法程序，用matlab设计实现，已经通过多个公认测试函数测试，结果良好。 -Based on multi-objective particle swarm algorithm Pareto domination, using matlab design implementation, test function has been recognized by a number of tests with good results.
PSO
- 粒子群算法，并运用测试函数测试了其精度与收敛性。-PSO for benchmarks .
qpso
- 量子粒子群算法，其中包含了七个算法测试函数-Quantum particle swarm optimization, the algorithm contains seven test functions
粒子群算法
- 用c++的方法编写单目标粒子群算法，包含4个测试函数，结果还不错
bbo
- D Simon的生物地理学优化算法，内亦包含相同环境下的其他优化算法，如粒子群算法、差分进化等，且含有标准测试函数-D Simon s biogeography optimization algorithm, also contain other optimization algorithms within the same environment, such as particle swarm optimization, differential evolution, etc., and co
mopso
- 里面给出MOPSO算法的源码和解释，并给出测试函数(It gives the source code and explanation of MOPSO algorithm, and gives the test function)