Mix-integer optimization problem using GA

Is there anyway we can assign some specific values to a variable in the optimization problem? For example, x1 can only take values of 32 40 50 and 65.

When I read through this material: https://www.mathworks.com/help/gads/mixed-integer-optimization.html

I know that GA can find integer solutions. However, in my problem, some of my variables can only be assigned with specific values. For example, variable X1 only takes the value of 32 40 50 and 65. Is there anyway we can define it ?

Thank you so much,

Regards,

Kim,

[Bruno Luong]

For example, variable X1 only takes the value of 32 40 50 and 65.

Reformulate your score/variable, instead of minimizing (by GA)

f(x1,x2, ...,xn) with x1 in [32,40,50,65]

minimize

g(y1,x2,...xn) := f(yourset(y1),x2,...,xn) with y1 (integer) in 1:4

and with

yourset := [32,40,50,65]

Answer 1

[KALYAN ACHARJYA]

Define x1 as array with allowable values,

x1 =[32 40 50 65];
if sum(x1==input_value)>=1
% Allowed % Do something
else 
%Not allowed with revert message
end

Is this you are looking for?

Answer 2

[Bruno Luong]

Take x1 fix allowed value, e.g. 32, optimize wrt (x2,...), repeat 4 times pick the solutions (among 4) with smallest score value.

If your allowed array is large you might use integer programming GA method.

[Walter Roberson]

intlinprog permits discrete values but not general objective functions.

ga permits discrete values and general objective functions but uses a randomized approach in its choices.