3D Scatterplot and Pareto Front visualization

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Apostolos Fragkalas 2021-4-11

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https://ww2.mathworks.cn/matlabcentral/answers/799147-3d-scatterplot-and-pareto-front-visualization

编辑： Apostolos Fragkalas 2021-4-12

Hey,

So first things first, I'm really new in MatLab and even though I'm trying to learn the bassics in order to do what I want and udenrstand it, it seems like it is hard when you are under schedule.

I've Uploaded an excel file with all my data ( 525 rows and 3 columns) and then I created my workspace. After that I defined my x's,y's and z's using the following commands.

numbers = xlsread(filename);
x = numbers(1:525,3);
y = numbers(1:525,2);
z = numbers(1:525,1);

I tried following this answer ( https://www.mathworks.com/matlabcentral/answers/110723-is-it-possible-to-generate-surface-pareto-front-for-3-objective-functions-and-plot-it) but I had no luck - the first reason was because I couldn'y understand what a,b and c were and how they were related to my data.

So my question is, how do I create a 3d scatterplot were I can also create a visible Pareto front?

Thanks in advance!

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Answer 1

Alan Weiss 2021-4-12

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在 MATLAB Online 中打开

Did you try the scatteredinterpolant code from the answer? Modify it for your data:

F = scatteredInterpolant(numbers(:,1),numbers(:,2),numbers(:,3),'linear','none');
sgr = min(f(:,1)):.01:max(f(:,1));
ygr = min(f(:,2)):.01:max(f(:,2));
[XX,YY] = meshgrid(sgr,ygr);
ZZ = F(XX,YY);
surf(XX,YY,ZZ,'LineStyle','none')

Alan Weiss

MATLAB mathematical toolbox documentation

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Alan Weiss 2021-4-12

在 MATLAB Online 中打开

Sorry, my original code was for numbers on the order of 1, your data might be different. This code should be independent of the scale:

sgr = linspace(min(numbers(1:525,1)),max(numbers(1:525,1)));
ygr = linspace(min(numbers(1:525,2)),max(numbers(1:525,2)));

Alan Weiss

MATLAB mathematical toolbox documentation

Apostolos Fragkalas 2021-4-12

编辑：Apostolos Fragkalas 2021-4-12

在 MATLAB Online 中打开

So the full and revised code is this. The minor changes were made to correspond with my data

 F = scatteredInterpolant(numbers(1:525,2),numbers(1:525,3),numbers(1:525,1),'linear','none');
sgr = linspace(min(numbers(1:525,2)),max(numbers(1:525,2)));
ygr = linspace(min(numbers(1:525,3)),max(numbers(1:525,3)));
[XX,YY] = meshgrid(sgr,ygr);
ZZ = F(XX,YY);
surf(XX,YY,ZZ,'LineStyle','none')
Warning: Duplicate data points have been detected and removed - corresponding values have been averaged. 

If I exclude the "Warning" messege, everything else seems to be looking great to be honest!

However, I do have some followup questions. Is there a way wher I can have the data combination that give me the Pareto Front, in a more vivid color, and the rest of data combination shown too? You know, like dots. I don't know if I'm explaining what I want to say the right way.

Also, is there a way to know the optimal solution based on the formula that calucmates the distance between two points (d = ((x2 - x1)2 + (y2 - y1)2 + (z2 - z1)2)1/2) ?

Thanks in advance!

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