How can I optimize the following conditions using Genetic Algorithms.

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I have a objective function
y=obj(x,N,phaseNoise)
Where
  • x -> decision variable of length N.
  • PhaseNoise -> a random variable.
And I have a constraint function
[C Ceq]=constraint (x,N)
Where x & N same as above.
I need to call GA using those two function.
But GA only assumes both Objective function and Constraints function should be depend on x of same length.
How can I achieve Generic Programming?

Akzeptierte Antwort

Walter Roberson
Walter Roberson am 31 Jan. 2018
N = ...
phaseNoise = ...
A = []; b = [];
Aeq = []; beq = [];
lb = []; ub = [];
nonlcon = @(x) constraint(x, N);
intcon = ...
options = ....
fun = @(x) obj(x, N, phaseNoise);
ga(fun, N, A, b, Aeq, beq, lb, ub, nonlcon, intcon, options)
  9 Kommentare
Walter Roberson
Walter Roberson am 1 Feb. 2018
creatAnonymousFcn is not part of any of the more-than 50 toolboxes that I have installed, not as a major function and not as any internal method called by a function.
Walter Roberson
Walter Roberson am 1 Feb. 2018
You have
for n=0:N-1
m(n)=m(n)+x(n)*(-1)^(N-n-1)*x(N-n-1)*phase(n);
end
which starts n at 0 and then uses m(n), which is an attempt to index m at location 0, which is not permitted in MATLAB.

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Dhanu Naik
Dhanu Naik am 1 Feb. 2018
But I am getting that error about Anonymous function. Can u please go through the attached codes. A3.m is main function.

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