zhoujie_program

说明：  摘 要：0IE 问题是一个典型的优化组合问题，现在有很多解决的方法。本文针对遗传算法求解0IE 问题进行了研究，对 选择、交叉和变异算子进行了算法设计，最后在_ C- N软件上进行编程实现。结果表明，遗传算法在求解0IE 问题时具有 结果准确、收敛速度快等特点。 关键词：遗传算法；0IE 问题；最优化问题；_ C- N 软(Abstract: 0IE problem is a typical combinatorial optimization, there are many solutions. In this paper, genetic algorithm 0IE conducted a study on the selection, crossover and mutation operators of the algorithm design, and finally _ C- N software for programming. The results indicate that the genetic algorithm in solving problems with 0IE accurate, fast convergence and so on. Key words: genetic algorithm 0IE problem optimization problems _ C- N Soft)

matlab中大津法（otsu）的源代码程序，已经经过测试，可以在matlab中直接运行(matlab in Otsu (otsu) program source code, has been tested and can be run directly in matlab)

遗传算法无功优化，最小均方误差（MMSE）的算法，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。( Genetic algorithm based reactive power optimization, Minimum mean square error (MMSE) algorithm, Monte Carlo simulation method of calculating the American option price and basic description.)

matlab下层次分析法的源代码，简单的代码实现层次分析法的应用。(ahp apply on matlab)

用matlab语言实现RGB图像到索引图像的转换(Achieve an RGB image to indexed image using matlab language conversion)

matlab最短路的贪心算法，用VC++实现，把ShortEst.dll复制到matlab工作文件夹运行（先要运行mex-setup，关联VC与MATLAB）调用方法如 a = [-1,2,3 2,-1,4 3,4,-1] ShorstEst(a) 即可(matlab most short-circuit the greedy algorithm, using VC++ to achieve, and copy it to ShortEst.dll working folder matlab run (first run mex-setup, associated VC with MATLAB) method call, such as a = [-1,2,3 2,-1,4 3,4,-1] ShorstEst (a) can)

一用GA直接训练BP网络的权重算法 二用GA先求BP网络的权重，再用纯BP直接训练BP的混合GA－BP算法 (matlab program)

this program is about airs algorithm iti role is bout classification of many vectors of data

采用中心旋转法来进行曲波变换，带有几个demos。方便的进行curvelet变换(Center of rotation method used to carry out curvelet transform, with a few demos. Convenient for curvelet transform)

使用matlab编辑文本并输出，作为Parmela的输入文件，同时通过matlab的Dos功能执行粒子模拟计算，节约时间。(Edit text using matlab and output, as the input file Parmela through Dos function matlab implementation of the particle simulation, saving time.)