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how to solve a deflection problem in pavement surface using genetic algorithms.

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The question is like this,
I have the formula for the theortical deflection d(t) that depends on four parameters(u,v,x,y) that have a specific range ( let it be theoretical deflection)
along with these, I have six measured deflections d(m) at six different points.
So, I need a GA
where the function is the root square mean of the sum of error in each deflection.
Where the outcome should have a single value for every parameter so that the error should be minimized and have exact or nearby value to measured deflection.


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Accepted Answer

Alan Weiss
Alan Weiss on 1 May 2020
There are many ways to solve such model-fitting problems. See these examples:
You can always use ga instead of fminsearch or fminunc, though I am not sure why you would want to.
Alan Weiss
MATLAB mathematical toolbox documentation

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ADITYA ANUPAM on 1 May 2020
If these question were solved by using fminsearch I had used it earlier. It's my research work that's why i can't explain here. But this example is just a protype of what I want. So if you can help me to solve I will be highly obliged to you.

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