varying objective function in geometric programming

I am trying to maximize the secrecy capacity of a relaying network with five design variables. I am using GGPLAB to solve the problem through iterative geometric programming. The objective function is to be updated every iteration. GP solver accepts the objective function if I added it manually feom the previous iteration. But if I dirct the code to a function to calculate the new objective function I get error message:
Error using sym/eval
Too many input arguments.
Error in gpproblem>standardize (line 318)
obj = eval( obj, {'' []} );
Error in gpproblem (line 135)
[r.std_obj new_con new_vars] =
standardize(r.obj,r.new_gpvars_count);
Error in gpsolve (line 44)
gp_problem_obj = gpproblem(obj, constr, flag);
Error in GGPLAB_theta_c (line 79)
[min_c solution status] = gpsolve(obj,constr,'min');
I cannot keep doing it manually . Any ideas?

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The objective functionis recognized as a generalized posynomial when i copy paste it to the code.

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