Problems with defining upper and lower bounds

Hi!
I'm trying to run GA with
[x fval] = ga(@objectiveFunction, nvars, [],[],[],[],lower, upper,[], integers, options)
Where:
nvars = 2,
lower = [3 3]
upper = [13 10]
integers = []
Problem is that the parameters sent to the objective function from the GA sometimes are outside the bounds i've specified.
For testing the objective function now only writes it's input to the console and returns a fixed number.
Here's a part of the console output:
param =
0.7289 3.1917
param =
0.9995 7.7736
param =
-1.2105 3.4438
param =
7.9082 6.2424
As you can see several of the values are outside the allowed range. What have i done wrong?
Best regards.
Daniel

 采纳的回答

I solved it by using @mutationadaptfeasible as mutation function!

更多回答(1 个)

The final output value is inside the range though, right? I believe ga() is showing every attempt, even if the attempt falls outside of the constraints, but it will converge to something inside the constraints.

3 个评论

Actually, even the end result is outside the bounds unfortunately.
What options are you using?
param above, looked like it was working its way in.
options = gaoptimset(@ga);
options.Vectorized = 'off';
Basically default options.

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