help minium of a n-variables function in m-variables (m<n) (genetic algorithm, fmincon).

i have a function f: = (i = 1 to n) Σ [R (a, b, c, d, e, T (i)) - H (i)]

where R is a mixed function that depends on a, b, c, d, e, and T (i) where a, b, c, d, e are greater than zero.

f also depends also on H(i)

I suppose that the vectors T (i) and H (i) are the input data.

I would like to minimize this quantity as a function of Θ = (a, b, c, d, e) using the genetic algorithm GA along with fmincon.

the problem is that I can not define f in the right way to let him take T (i) and H (i) input and to minimize only with respect to Θ = (a, b, c, d, e).

The main problem is that I can not find a way to define f that "fix" T (i) and H (i) so as to minimize in 5 variables instead of 7.

Can you help me to define the function f in the right way and then to use GA and fmincon in the right way?

Thank you so much

Answer 1

[Walter Roberson]

It sounds to me as if you should instead be using the techniques for passing additional parameters