中文说明： 应用 MATLAB编写的 故障检测 的 免疫算法源程序。好用绝对！ clc; clear all; global popsize length min max N code; N=12; % 每个染色体段数（十进制编码位数） M=20; % 进化代数 popsize=20; %设置初始参数，群体大小 length=10; % length为每段基因的二进制编码位数 chromlength=N*length; %字符串长度（个体长度），染色体的二进制编码长度 pc=0.7; %设置交叉概率，本例中交叉概率是定值，若想设置变化的交叉概率可用表达式表示，或从写一个交叉概率函数，例如用神经网络训练得到的值作为交叉概率 pm=0.3; %设置变异概率，同理也可设置为变化的 bound={-100*ones(popsize,1),zeros(popsize,1)};min=bound{1};max=bound{2}; pop=initpop(popsize,chromlength);
English Description：
Fault detection of immune algorithm source program written in MATLAB. Well absolutely! clc; clear all; global popsize length min max N code; N=12; % Number of each chromosome segments (decimal code digits) M=20; % Evolution algebra popsize=20; % Set the initial parameters, population size length=10; %Length for each gene of binary-coded bits chromlength=N*length; % String length (length of the individual), chromosome length binary encoding pc=0.7; % Set the crossover probability, crossover probability is a value in this case, if you want to set the crossover probability is represented by an expression, or from writing a crossover probability functions, such as using the neural network training value as crossover probability pm=0.3; % Set the mutation probability, so also can be set to change bound={-100*ones(popsize,1),zeros(popsize,1)};min=bound{1};max=bound{2}; pop=initpop(popsize,chromlength);