- Category:
- matlab
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[Matlab]
[源码]
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- 75kb
- Update:
- 2017-10-05
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Description: 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.
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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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