Description: 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 movement. Low-dimensional, optimize the results very good. Direct decompression without passwords. Please correct. Platform: |
Size: 23760 |
Author:陈超 |
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Description: 基于MATLAB的微粒群工具箱，算法模型中引入收缩因子，收敛速度有所提高，但对高维函数的优化效果仍然不理想。-based on MATLAB Toolbox PSO algorithm model introduced shrinkage factor, convergence rate increase, but for high-dimensional optimization function effects are still not ideal. Platform: |
Size: 60242 |
Author:陈超 |
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Description: 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 movement. Low-dimensional, optimize the results very good. Direct decompression without passwords. Please correct. Platform: |
Size: 23552 |
Author: |
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Description: 基于MATLAB的微粒群工具箱，算法模型中引入收缩因子，收敛速度有所提高，但对高维函数的优化效果仍然不理想。-based on MATLAB Toolbox PSO algorithm model introduced shrinkage factor, convergence rate increase, but for high-dimensional optimization function effects are still not ideal. Platform: |
Size: 60416 |
Author: |
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Description: 1）实现以下常用的内部排序算法并对它们的时间效率进行比较：
必做（6种）：起泡排序、直接插入排序、简单选择排序、快速排序、希尔排序、堆排序；
选做：折半插入、二路归并、基数排序等等；
2）函数首部要求：void XXXXSort(char **list, int len, int n, int *c, int *s)
其中：
a) XXXXSort为排序函数名，具体如下：
起泡排序BubbleSort
直接插入排序InsertSort
简单选择排序SelectSort
快速排序QuickSort
希尔排序ShellSort
堆排序HeapSort
折半插入BInsertSort
二路归并Merge2Sort
基数排序RadixSort
b) list为二维字符数组的头指针，该二维数组的规格为：char list[n][len] 每行用于存放一个字符串（最大长度为len-1），共n行；
c) c用于返回关键字比较次数；
d) s用于返回移动次数；
3）要求把各种排序函数做成函数库（文件名统一为：sort.c），用统一提供的主程序进行调用和测评。
-a) achieve the following commonly used internal sorting algorithm as well as their time efficiency comparison : regimen (6) : bubble sort, direct insertion sequence and simple choice sorting, quick sort, Hill, ranked Heap Sort; elected to do : half of insertion, two-way merge. Sort base, and so on; 2) function first requirement : void XXXXSort (char** list, int len, int n, int* c, int* s) which : a) XXXXSort sort of a function name, as follows : bubble sort BubbleSort direct insertion sort InsertSort simple choice ranking Sele ctSort Quick Sort QuickSort Hill Sorting ShellSort Heap Sort HeapS ort half insert BInsertSort two-way merge Merge2Sort radix sort Radi xSort b) list for the two-dimensional array of characters in the first indicator, the two-dimensional array specifications : cha Platform: |
Size: 10240 |
Author:战天 |
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Description: 此程序包是用粒子群算法来求16个经典函数的最小最大值，其中界面友好，运行时会出现动态二维图来展现粒子群是如何运动来求最值的-This package is used for particle swarm optimization to 16 classic function of the smallest maximum value, in which user-friendly, run-time dynamic two-dimensional map will appear to show how the particle swarm movement to seek the most value Platform: |
Size: 753664 |
Author:梁锦兆 |
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Description: 是一个非常全面的pso的程序，有16个函数的测试，并且用三维图形将寻优过程显示出来。对所有的参数都可以修改测试-Is a very comprehensive procedure for the PSO, there are 16 function testing, and using three-dimensional graphics optimization process will be displayed. For all the parameters can modify the test Platform: |
Size: 761856 |
Author:wang |
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Description: ％--- 名称：带交叉因子的改进PSO算法
％------功能：求解多维无约束优化问题
％------特点：收敛性强，还可以加入变异算子
---- Name: with cross-factor function to improve the PSO algorithm------: Solving multi-dimensional unconstrained optimization problems------ characteristics: strong convergence, but also joined the mutation operator can Platform: |
Size: 5120 |
Author:依然 |
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Description: --- 名称：带交叉因子的改进PSO算法
------功能：求解多维无约束优化问题
------特点：收敛性强，还可以加入变异算子------- Name: with cross-factor function to improve the PSO algorithm ------: Solving multi-dimensional unconstrained optimization problem ------ characteristics: strong convergence, mutation operator can also add son Platform: |
Size: 2048 |
Author:李迅 |
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Description: 提出一种改进的粒子群优化算法———基于全局劣汰策略的混合粒子群优化算法(GTPSO) 。GTPSO在
保持PSO算法快速收敛的基础上,以郭涛算法(GuoA)的寻优机制确保种群的多样性和算法的坚韧性。数值计
算结果表明,对于高维(维数≥10)复杂非凸多峰函数的数值优化问题, GTPSO算法的计算结果均优于GuoA算
法和粒子群优化算法。-An improved particle swarm optimization algorithm--- poor overall survival strategy based on a mixture of particle swarm optimization (GTPSO). GTPSO while maintaining fast convergence PSO algorithm based on the algorithm to Guo Tao (GuoA) optimization of the mechanism in place to ensure the diversity of the population of the tenacity and algorithms. The numerical results show that for high-dimensional (dimension ≥ 10) the complexity of multi-peak function non-convex numerical optimization problems, GTPSO algorithm results are superior to GuoA algorithms and particle swarm optimization algorithm. Platform: |
Size: 223232 |
Author:zhao |
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Description: 基于PSO算法的故障诊断分析-简单算例
script file:gzzd1_PSO.m
找出最能解释警报信号的故障假说
目标函数E(s),4维函数-PSO algorithm based fault diagnosis- A simple example script file: gzzd1_PSO.m find the best hypothesis to explain the failure warning signal objective function E (s), 4-dimensional function Platform: |
Size: 2048 |
Author:李智 |
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Description: 粒子群算法是求解函数优化问题的一种新的进化算法，然而它在求解高维函数时容易陷入局部最优，为了克服这个缺点，提出了一种新的粒子群算法，算法对粒子的速度和位置更新公式进行了改进，使粒子在其最有位置的基础上进行位置更新，增强了算法的寻优-PSO for solving function optimization problems is a new evolutionary algorithm, but it is easy to solve high-dimensional function into local optimum, in order to overcome this shortcoming, a new particle swarm algorithm, algorithm on the particle velocity and location of the update formula has been improved, so that particles in the most positions on the basis of location updates, enhancements, optimization algorithm Platform: |
Size: 109568 |
Author:wangyiping |
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Description: 基本粒子群算法的matlab实现，粒子群是二维的，其中已给出多个测试函数。-Particle swarm optimization matlab implementation, PSO is a two-dimensional, which has given more than one test function. Platform: |
Size: 5120 |
Author:伍思敏 |
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Description: 子群优化算法中,粒子群由多个粒子组成,每个粒子的位置代表优化问题在D维搜索空间中潜在的解。根据各自的位置,每个粒子用一个速度来决定其飞行的方向和距离,然后通过优化函数计算出一个适应度函数值(fitness)。-Subgroup of particle swarm optimization algorithm is composed by a number of particles, each particle' s position represents to optimize the potential of the solution of the problem in the D-dimensional search space. According to the respective positions of each particle is determined with a speed of its flight direction and distance, and then through the optimization function to calculate a fitness function value (fitness). Platform: |
Size: 35840 |
Author:wang |
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Description: 粒子群算法求解多维约束函数极值，并与遗传算法比较。结果发现，粒子群有很好的精度。-A particle swarm optimization algorithm for solving the extreme value of multi dimensional constrained function, and compared with genetic algorithm. The results show that the particle swarm has a good accuracy. Platform: |
Size: 7168 |
Author:华宇 |
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