GA algorithm toolbox (define constraint)

Hi

I have objective function with 5 variable which I have implemented in the genetic algorithm to optimize it .

I have trouble defining its constraint in the genetic algorithm.

The constraint I want to define:

• X1 & x2 & x4 is integer
• If I assume a is integer
• Then x1=A*x4 & x1=A*x5
• X2=A*x4 & X2=A*X5

Can someone guide me to define this constraint to GA toolbox matlba?

[Walter Roberson]

Your constraints require x4 = x5 but x5 is not constrained to be integer.

Answer 1

[Walter Roberson]

This kind of system can be programmed by introducing up to 4 new integer variables, with the logical conditions

x1 == x6 * x4
x1 == x7 * x5
x2 == x8 * x4
x2 == x9 * x5

You would then follow that by reducing the original equations, replacing each x1 by x6 * x4 and each x2 by x8 * x4 everywhere the equations,

Then you would add the nonlinear equality constraints

x6 * x4 - x7 * x5
x8 * x4 - x9 * x5

The list of variables would be x3, x4, x5, x6, x7, x8, x9 with x4 through x9 all integer variables (so x3 is the only non-integer variable.)

I know your original list did not require x5 to be integer, but your integer constraints on the other variables require that x5 be integer, I figure.

[hamed feizmohamadi]

Thanks for the reply

Another question is to define the integer of the variables in the fitness function part?

Also this constraint

x1 == x6 * x4

x1 == x7 * x5

x2 == x8 * x4

x2 == x9 * x5

define In fitness function?