Multi-target data optimization

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Hi, there. I was wondering if someone could help me with something.
I have 3 data matrices, of which I show you the contour plots (these I show would be just an example, these are from functions but the real ones are not from any kind of functions).
What I need is to be able to define a region of minimum optimums by weighting the matrices, that is, that not all of them have the same importance. The thing is that I only find things related to functions and they are not useful to me...
Thank you very much for everything.
Z1.jpg
Z2.jpg
Z3.jpg
  4 Comments
Mohammad Sami
Mohammad Sami on 2 Feb 2020
What if you just add the 3 weighted matrix and then use the minimum function
Z1 = load('Z1.mat');
Z2 = load('Z2.mat');
Z3 = load('Z3.mat');
w1 = 1;
w2 = 1;
w3 = 1;
Z = w1 * Z1.Z + w2 * Z2.Z + w3 * Z3.Z;
[,idx] = min(Z);
Alejandro Fernández
Alejandro Fernández on 2 Feb 2020
Ok, I'll try, thank you so much.

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Accepted Answer

Thiago Henrique Gomes Lobato
Could you explain a little more the problem you're having? In the end it really doesn't matter if your matrix are functions or not since you can define the matrix weighting as a function, as an example:
f = @(Z1,Z2,Z3)Z1*2+Z2*1+Z3*3;
But actually what you seems to want is the minimum of the matrix weighted sum, and if you already have the values, it is really as simple as sum them and calculate the min:
w1 = 1;
w2 = 2;
w3 = 3;
Zweighted = Z1*w1+Z2*w2+Z3*w3;
[MinVal,MinPos] = min(Zweighted)
  6 Comments
Alejandro Fernández
Alejandro Fernández on 2 Feb 2020
It's okey like that, dont worry.

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