Multi-target data optimization
2 次查看(过去 30 天)
显示 更早的评论
Alejandro Fernández
2020-2-2
评论: Thiago Henrique Gomes Lobato
2020-2-2
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.
4 个评论
Mohammad Sami
2020-2-2
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);
采纳的回答
Thiago Henrique Gomes Lobato
2020-2-2
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 个评论
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Multiobjective Optimization 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!