The basic steps of the genetic algorithm are as follows: 1) under certain coding schemes, an initial population is randomly generated; 2) use the corresponding decoding method to convert the encoded individuals into questions The decision variable of the problem space is obtained and the fitness value of the individual is obtained; 3) according to the size of individual fitness, the fitness is selected from the population Larger individuals constitute mating pools; 4) by crossover and mutation, these two genetic operators are pairs of mating pools Individuals operate and form a new generation of populations; 5) repeat step 2-4 until the convergence criterion is satisfied.

用MATLAB实现遗传算法程序.pdf\crossover.m
用MATLAB实现遗传算法程序.pdf\decoding.m
用MATLAB实现遗传算法程序.pdf\encoding.m
用MATLAB实现遗传算法程序.pdf\ga.m
用MATLAB实现遗传算法程序.pdf\mutation.m
用MATLAB实现遗传算法程序.pdf\myfunc.m
用MATLAB实现遗传算法程序.pdf\selection.m
用MATLAB实现遗传算法程序.pdf\用MATLAB实现遗传算法程序.pdf
用MATLAB实现遗传算法程序.pdf

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