data excel algorithm genetic
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how do i implement genetic algorithms with excel data for ranking
2 comentarios
Giuseppe Inghilterra
el 16 de Feb. de 2020
Could you provide more details about your problem? (your trials, your code, etc..)
joni nababan
el 20 de Feb. de 2020
Respuestas (1)
Walter Roberson
el 16 de Feb. de 2020
0 votos
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 comentarios
joni nababan
el 20 de Feb. de 2020
Walter Roberson
el 21 de Feb. de 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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