搜索资源列表
Matlab代码
- 有约束和无约束的测试函数代码，可以在优化算法测试时使用(Constrained and unconstrained test function codes)
MOPSO程序（附带测试函数）
- 适用于求解多目标问题，收敛性好，算法不缺乏多样性。(Be suitable to solve Multi-objective problems, better convergence and no lacking diversity)
Benchmark functions
- 用于算法性能测试的几种单模和多模基准函数。(Several single mode and multimode reference functions for performance testing of the algorithm.)
TestRayTracing
- 简单的光线跟踪算法测试，底层基于OpenGL实现(A simple ray-tracing demo)
rm-meda
- 正则模型的分布估计算法,测试函数为ZDT,DTLZ,WFG等，在加噪时，进行优化，有四种噪声水平(RM-MEDA.Regular model distribution estimation algorithm, test function for zdt, dtlz, wfg, etc., when adding noise, optimization, there are four kinds of noise level)
CSC002
- 智能优化算法测试二类Two classes of intelligent optimization algorithm test(Two classes of intelligent optimization algorithm test)
CSC004
- 智能优化算法测试四类Four classes of intelligent optimization algorithm test(Four classes of intelligent optimization algorithm test)
基于遗传算法的投影向量模型
- matlab 投影向量模型, 该代码含原始代码和测试数据(genetic algorithm for matlab)
算法时间复杂度的实验测试
- 以堆排序算法为例，改变输入规模n，测试算法时间复杂度(Time complexity of algorithm)
多目标优化的微分进化算法
- 差分算法，求最优解，能实现，能运行，是个测试版本，可以在这基础改(Genetic algorithm, the best solution, can be realized, can run, is a test version, can be modified in this basis.)
EM算法_代码
- 这是用python编写的EM算法的实现程序，测试过可以运行。(This is written in Python EM algorithm implementation procedures, tested can run.)
经典函数
- 经典的测试函数，可用于算法的测试，对比算法的性能，具有很大的作用。(The classic test function can be used for algorithm testing, and it has a great effect in comparing the performance of the algorithm.)
SM2&SM3&SM4国密算法C语言实现
- SM2&SM3&SM4国密算法C语言实现,分别有3个算法的pdf文档，以及测试代码(SM encryption algorithm,including test code & docs)
test benchmarks
- 总共56个测试的基准函数，用于智能算法测试所用。(Totally 56 benchmark functions for testing, they are used for intelligence algorithm testing.)
标准PSO算法以及典型测试函数matlab程序
- 标准的PSO算法以及几个典型测试函数的matlab源程序，资料可供大家参考(Standard PSO algorithm and several typical test functions of Matlab source code, information for your reference.)
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端，采用遗传算法寻优BP的初始权值和阈值，然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and
Nonlinear Regression using ANFIS
- 利用ANFIS算法进行回归，里面有具体的数据文件，测试通过，利用里面的核心算法可以做拟合分析等。(Do regression analysis using ANFIS method)
CEC 2017
- 测试函数：主要用于测试智能优化算法，如遗传算法、粒子群算法等的性能(Test function: it is mainly used to test the performance of intelligent optimization algorithms, such as genetic algorithm and particle swarm optimization algorithm)
BA
- 蝙蝠算法进行编程 采用标准测试函数对其性能进行测试(The bat algorithm is programmed and the performance of the algorithm is tested with standard test function.)
ZUC算法源代码
- 官方完整的C语言代码，可以通过测试，能用(code of zuc This headfile provide macro defination,parameter definition and function declaration needed in ZUC stream cipher algorithm implementation.)