ga optimization changing answer

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shirin mhd
shirin mhd 2022-5-11
评论： shirin mhd 2022-5-11
Hi everyone
I have a question about GA optimization answer.
I want to optimize this function with 5 variable, as below:
Q=ga(@(b) -(-1e-6*((b(1))^2)+5.69e2*(b(1))+...
-1e-6*((b(2))^2)+8e2*(b(2))+...
-1e-6*((b(3))^2)+4e2*(b(3))+...
-1e-6*((b(4))^2)+4e2*(b(4))+...
-1e-6*((b(5))^2)+5e2*(b(5))),5)
at first i run the code and the answer was what you can see below:
Optimization terminated: maximum number of generations exceeded.
Q =
1.0e+03 *
1.6325 2.2597 1.5050 1.4811 1.4940
i run the code for second time and the answer changed to:
Optimization terminated: maximum number of generations exceeded.
Q =
1.0e+03 *
1.8045 2.3893 1.4345 1.5154 1.5075
and for the third time the answer was:
Optimization terminated: maximum number of generations exceeded.
Q =
1.0e+03 *
1.8864 2.3098 1.4213 1.5103 1.2786
as you can see, the answer for each run was changed. why is this happening? I know that ga uses several iterations to obtain the answer, but I thought that the final answer is unique and fixed. am I doing something wrong? could you please explain this result for me?

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采纳的回答

Chunru
Chunru 2022-5-11
Ran in:
GA need random initialization of population and it also involves random processing in generating children. Therefore, the results of different run may be different. To make the result reproducible, you need to reset the random generator before each run. For example:
rng default
Q=ga(@(b) -(-1e-6*((b(1))^2)+5.69e2*(b(1))+...
-1e-6*((b(2))^2)+8e2*(b(2))+...
-1e-6*((b(3))^2)+4e2*(b(3))+...
-1e-6*((b(4))^2)+4e2*(b(4))+...
-1e-6*((b(5))^2)+5e2*(b(5))),5)
Optimization terminated: maximum number of generations exceeded.
Q = 1×5
1.0e+03 * 1.8729 2.0826 1.6439 1.5220 1.7711
rng default
Q=ga(@(b) -(-1e-6*((b(1))^2)+5.69e2*(b(1))+...
-1e-6*((b(2))^2)+8e2*(b(2))+...
-1e-6*((b(3))^2)+4e2*(b(3))+...
-1e-6*((b(4))^2)+4e2*(b(4))+...
-1e-6*((b(5))^2)+5e2*(b(5))),5)
Optimization terminated: maximum number of generations exceeded.
Q = 1×5
1.0e+03 * 1.8729 2.0826 1.6439 1.5220 1.7711

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