Share information between objective and constraint function with genetic algorithm

Hi,

I am using the genetic algorithm solver to minimise a function with non-linear constraints and mixed-integer variables. My constraints and objective functions share some heavy and identical computation. I was wondering whether there was a way to pass variables between these functions? I wanted to use something like Objective and Nonlinear Constraints in the Same Function, but it doesn't work with the genetic algorithm solver. I am using the gentic algorithm as follows:

fun     = @computeMagVol;
nVars   = 4;
A       = [];
b       = [];
Aeq     = [];
beq     = [];
lb      = [4, 80, 1,1]; 
ub      = [6,130,41,4];
nonlcon = @combineConstraints;
IntCon  = [3,4];
options = optimoptions('ga','PopulationSize'   , 25,                    ...
                            'PlotFcn'          ,@gaplotPopAndBestIndiv, ...
                            'FunctionTolerance', 1.0000e-03             );

[x,fval,exitflag,output] = ga(fun,nVars,A,b,Aeq,beq,lb,ub,nonlcon,IntCon,options);
toc

Any suggestions would be greatly appreciated.

Best,

Ryan