global search problems.

hi all, sorry for my bad english.

i have some problems with a global minimization:

A = [-1 0 0 0   ; 0 -1 0 0   ; 0 0 -1 0   ; 0 0 0 -1];

b = [0 0 0 0];

sf = @(x)sum(arrayfun(@(K)parameterfun(x,T(K),R(K)),1:length(T)));

opts = optimset('Algorithm','interior-point');

problem=createOptimProblem('fmincon','x0',[1 1 1 1] ,'Aineq',A,'bineq',b,'objective',sf,'options',opts);

gs = GlobalSearch;

x = run(gs,problem) %global search

Where parameterfun is a 4 positive variables function that i want minimize and T and R are input vectors.

When i run it i recive some errors i cant manage to resolve:

??? Error using ==> minus
Matrix dimensions must agree.

Error in ==> D:\Matlab
R2011a\toolbox\globaloptim\globaloptim\private\globalsearchnlp.p>i_calcConstrViolation
at 593

Error in ==> D:\Matlab
R2011a\toolbox\globaloptim\globaloptim\private\globalsearchnlp.p>i_calcPenalty at
627

Error in ==> D:\Matlab
R2011a\toolbox\globaloptim\globaloptim\private\globalsearchnlp.p>globalsearchnlp at
343

Error in ==> GlobalSearch>GlobalSearch.run at 330
            [x,fval,exitflag,output] = ...

Error in ==> main at 32
x = run(gs,problem) %global search

any ideas ? maybe there is another algorithm to use instead of global search for my problem ? i had already tried with genetic algorithms without success : (

ty all.