optimization using genetic algorithm

i have 4 variables to optimize in GA which each have Upper Bound 100% and Lower Bound 0%. i need the result didn't exceed 100% when all the variable is summed. how to sum up my 4 variables into 100%??what code i have to write??

%Constrain
UB = [1 1 1 1];
LB = [0 0 0 0];
eBangkit    = [];
Individu    = [];
eIndividu   = [];
david       = [];
Dadatfit    = [];
Datfit      = [];
summary     = [];
eDadatfit   = [];
efitnessmax = [];
eIndividuMax = [];

Bangkit = round(rand(Npop,Nbit*Nvar));
popsize = size(Bangkit,1);

for i = 1:Nvar
    batas(i) = UB(i)-LB(i);
end

Answer 1

[Walter Roberson]

If you were using one of the Mathworks optimization functions such as ga() then you would use

A = [1 1 1 1] 
b = 1

However you aappear to be writing your own ga code, so write whatever you want.