How can ı solve this constraint optimization problem?
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Answers (3)
Bruno Luong
on 1 Aug 2020
Hint: you should find
x=y=1
Star Strider
on 1 Aug 2020
1 vote
I get the feeling that this is likely homework.
It would likely be easiest to use the fmincon function, although there are several functions that could do what you want. Note that the optimisation functions minimise the function they are given, so to maximise it, calculate the negative of the function you supply to fmincon.
1 Comment
Sinem Senel
on 2 Aug 2020
John D'Errico
on 1 Aug 2020
0 votes
Many things you can do, but since this is your homework, and there are already answrs posted, I'll just suggest a couple of things. Why not plot it? Look at the surface. Look at contours of the function on that domain.
Other things. You could differentiate it. Is there a zero of the gradient vector in that region? Is that at a maximum or minimum?
You could use optimization tools. FMINCON comes to mind. Or GA, or any of a number of tools.
5 Comments
Sinem Senel
on 2 Aug 2020
Bruno Luong
on 2 Aug 2020
Edited: Bruno Luong
on 2 Aug 2020
Yes because they are designed to handle all kinds of constraints. You don't need those constraints that your problem doesn' have, you don't have to set them. Usually that just meant to put an empty bracket '[]' in the corresponding input argument.
And I can find an example similar to your problem, right in the doc page of fmincon, after expanding the section "Minimize with Bound Constraints".
Sinem Senel
on 2 Aug 2020
Bruno Luong
on 2 Aug 2020
Edited: Bruno Luong
on 2 Aug 2020
x0 must be provided base on what a priori your knowledge of where the soluion would be (yeah you definitvely need to read about optimization tools). In this example I direct to you, they select simply as
0.5*(lb+ub)
which is the middle point of the box, heuristically chosen.
Sinem Senel
on 2 Aug 2020
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