搜索资源列表
tsp_pso
- tsp 粒子群算法修正源码， 参考：大连理工大学 谷超 2009年硕士学位论文 “改进的ACO和PSO算法在TSP中的应用” *郭文忠1，陈国龙1，洪玉玲2 .求解TSP问题的动态邻域粒子群优化算法.漳州师范学院学报(自然科学版) -modified particle swarm optimization tsp source code, reference: Dalian University of Technology master s degree thesis Vall
pso
- 修正过的pso 算法 属于离散型的pso程序，可用于变量筛选，效果不错！-Modified discrete PSO algorithm belonging to the PSO procedure, can be used for variable selection, good results!
pso
- A modified version of PSO algorithm which can be used to search the minimum value inside a specified range. Using f1s.m to test the function!
modified_PSO
- this modified PSO algorithm can solve for constrained optimization problem
simpelpso
- written by budi santosa to implement modified PSO on single variable function budi_s@ie.its.ac.id based on Engineering Optimization Theory and Practice book by Singiresu S. Rao- written by budi santosa to implement modified PSO on single va
PSOmodified
- written by budi santosa to implement modified PSO on multivariables function budi_s@ie.its.ac.id based on Engineering Optimization Theory and Practice book by Singiresu S. Rao- written by budi santosa to implement modified PSO on multivaria
modifiedpso
- 修正的pso算法，在原有基础上有了改进，对不同的算例可修改ff文件，通用性较强-Modified pso algorithm, an improvement on the original basis of different examples can be modified ff file, universal strong
pfatb_v1.1
- Power Flow Analysis Toolbox :The above algorithms are all based on a package of MATLAB M-files. Generally, they can easily modified and developed to implement your ideal algorithm such as interacting with PSO,GA,etc basically, since we will clearly u
Ipso
- 提出了一种基于改进型微粒群算法的无线传 感器网络分簇路由算法来优化分簇过程。簇首节点的选取综合考虑候选节点和邻居节点的状态信息-Proposed a modified particle swarm algorithm based on wireless sensor network clustering routing algorithm to optimize the clustering process. Cluster head node, considering the select
pso1
- 某些实际问题的优化目标是求所有的局部最优解, 即求解多峰寻优问题, 为了求解多峰优化问题, 提出了改造的微粒 群优化算法. 尽量减少微粒群算法中的全局因素, 从而增大其局部因素, 同时采用变步长方法增加微粒的多样性. 并给出了该算法 的原理和步骤. 仿真实验表明该算法概念清楚, 计算简单, 具有很好的局部寻优特性, 可应用求解于多峰寻优问题. 另外还给出了几 个运算实例和与其它优化算法的比较.-Some of the practical problems the optimizati
PSO
- optimization numerical problems using particle swarm optimization modified by amin zafarian for optimization a definte function (x*sin(4*x)+1.1*y*sin(2*y)
pso
- 对微粒群算法结构的改进方案有很多种，对其可分类为：采用多个子种群；改进微粒学习对象的选取策略；修改微粒更新迭代公式；修改速度更新策略；修改速度限制方法、位置限制方法和动态确定搜索空间；与其他搜索技术相结合；以及针对多模问题所作的改进。-Structure of the particle swarm algorithm to improve the program there are many, its can be classified as: the use of multiple sub-p
l-p-opf
- matlab ieee modified 30 bus data and pso economic disaptch
pso
- 基本粒子群优化算法的程序，自己编写的，稍微修改优化函数就可以使用，对大家学习粒子群程序很有帮助。-Basic particle swarm optimization algorithm procedures, the preparation of their own, slightly modified can be used to optimize function, to learn particle swarm procedure very helpful.
pso
- pso算法的具体详解，初学者可以参考，并可以直接修改函数-Pso algorithm of the specific explanation, beginners can reference, and can be directly modified function
PSO-optimization
- 应用粒子群算法来寻找BP神经网络最优的初始权值还有阈值，本程序主要是以此来拟合函数，读者可以根据需要，小小地修改一下BP神经网络的代码，可以实现诸如模式识别等功能，收敛效果很好，-Application of particle swarm algorithm to find the optimal initial BP neural network weights as well as the threshold value, the procedure is a way to fit func
PSO-BP
- 可用于智能算法的优化，程序代码可以自己修改。(It can be used for the optimization of intelligent algorithms, and the program code can be modified.)
pso-40 generator
- A Modified Particle Swarm Optimization Technique for Economic Load Dispatch with Valve-Point Effect
PSO_Kmeans
- K-means聚类算法，基于PSO改的聚类算法，对初始点的选择进行优化(K-means clustering algorithm, based on PSO modified clustering algorithm, optimized the selection of the initial point.)
PSO优化SVM参数
- 粒子群算法优化libsvm参数，可以自行修改，亲测可用(Particle Swarm Optimization (PSO) optimizes the parameters of libsvm, which can be modified by itself and can be used for pro-test.)