文件名称:Genetic_Algorithm
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How to use the program for your own purposes:
The main thing that needs to be changed in ga.m is the fitness function
and a few parameters. It is now set to minimize a function z=f(x,y)
that is a sum of scaled translated Gaussian distributions with x and y
between 0 and 30 (specified by the elements of HIGHTRAIT and LOWTRAIT).
The function to be optimized must be changed in the section specified
in the program below.
In addition, the following parameters should be modified according
to your needs:- How to use the program for your own purposes:
The main thing that needs to be changed in ga.m is the fitness function
and a few parameters. It is now set to minimize a function z=f(x,y)
that is a sum of scaled translated Gaussian distributions with x and y
between 0 and 30 (specified by the elements of HIGHTRAIT and LOWTRAIT).
The function to be optimized must be changed in the section specified
in the program below.
In addition, the following parameters should be modified according
to your needs:
The main thing that needs to be changed in ga.m is the fitness function
and a few parameters. It is now set to minimize a function z=f(x,y)
that is a sum of scaled translated Gaussian distributions with x and y
between 0 and 30 (specified by the elements of HIGHTRAIT and LOWTRAIT).
The function to be optimized must be changed in the section specified
in the program below.
In addition, the following parameters should be modified according
to your needs:- How to use the program for your own purposes:
The main thing that needs to be changed in ga.m is the fitness function
and a few parameters. It is now set to minimize a function z=f(x,y)
that is a sum of scaled translated Gaussian distributions with x and y
between 0 and 30 (specified by the elements of HIGHTRAIT and LOWTRAIT).
The function to be optimized must be changed in the section specified
in the program below.
In addition, the following parameters should be modified according
to your needs:
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下载文件列表
Genetic Algorithm\ga.m
.................\Genetic Algorithm.docx
Genetic Algorithm
.................\Genetic Algorithm.docx
Genetic Algorithm