Genetic Algorithm (based Algorithm, GA) is using biological natural selection and group evolution mechanism to form a global optimization Algorithm is proposed. Compared with the traditional optimization algorithm, genetic algorithm has the following advantages [1] : 1) is not a single point, but multiple points of groups began to search 2) in the process of searching the optimal solution, only needs to be derived the objective function value of fitness information, without the need for a derivative and other auxiliary information 3) the search process is not easy to fall into local optimal point. Mathematical modeling of the commonly used matlab algorithm, genetic algorithm, and content in detail, including the PDF version of the detailed algorithm implementation process

用MATLAB实现遗传算法程序
........................\B2F.m
........................\changes.m
........................\cross.m
........................\de2bi.m
........................\F2B.m
........................\f553.m
........................\ga.m
........................\gaDemo1Eeval.m
........................\INTinti.m
........................\mutation.m
........................\myfun.m
........................\myga.m
........................\xcross.m
........................\用MATLAB实现遗传算法程序.pdf

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