data excel algorithm genetic
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how do i implement genetic algorithms with excel data for ranking
2 Comments
Giuseppe Inghilterra
on 16 Feb 2020
Could you provide more details about your problem? (your trials, your code, etc..)
joni nababan
on 20 Feb 2020
Answers (1)
Walter Roberson
on 16 Feb 2020
0 votes
Use readtable() or xlsread() to read the data. Once it is read into MATLAB, MATLAB does not care where it came from, so it becomes just the same as using any other array or vector when you construct the objective function to minimize.
2 Comments
joni nababan
on 20 Feb 2020
Walter Roberson
on 21 Feb 2020
Use whatever is appropriate for your purpose and your solver.
Example:
t = readtable('YourFile.xlsx');
x = t.x;
y = t.y;
model = @(P) P(1)*log(x) + P(2)*x.^2 + sin((P(1)+P(2))*pi*x);
residue = @(P) sum((model(P) - y).^2);
nvars = 2; A = [1 -1]; b = 0; Aeq = []; beq = []; nonlcon = [];
[bestP, fval] = ga(residue, nvars, A, b, Aeq, beq, nonlcon);
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