Detecting infinite loop in brainfuck program

Question

I have written a simple brainfuck interpreter in MATLAB script language. It is fed random bf programs to execute (as part of a genetic algorithm project). The problem I face is, the program turns out to have an infinite loop in a sizeable number of cases, and hence the GA gets stuck at the point.
So, I need a mechanism to detect infinite loops and avoid executing that code in bf.
One obvious (trivial) case is when I have

[]

I can detect this and refuse to run that program.
For the non-trivial cases, I figured out that the basic idea is: to determine how one iteration of the loop changes the current cell. If the change is negative, we're eventually going to reach 0, so it's a finite loop. Otherwise, if the change is non-negative, it's an infinite loop.
Implementing this is easy for the case of a single loop, but with nested loops it becomes very complicated. For example, (in what follows (1) refers to contents of cell 1, etc. )

++++ Put 4 in 1st cell (1)
>+++ Put 3 in (2)
<[   While( (1) is non zero)
    --   Decrease (1) by 2
    >[   While( (2) is non zero)
        -    Decrement (2)
        <+   Increment (1) 
    >]   
    (2) would be 0 at this point
    +++  Increase (2) by 3 making (2) = 3
<]   (1) was decreased by 2 and then increased by 3, so net effect is increment

and hence the code runs on and on. A naive check of the number of +'s and -'s done on cell 1, however, would say the number of -'s is more, so would not detect the infinite loop.
Can anyone think of a good algorithm to detect infinite loops, given arbitrary nesting of arbitrary number of loops in bf?

EDIT: I do know that the halting problem is unsolvable in general, but I was not sure whether there did not exist special case exceptions. Like, maybe Matlab might function as a Super Turing machine able to determine the halting of the bf program. I might be horribly wrong, but if so, I would like to know exactly how and why.

SECOND EDIT: I have written what I purport to be infinite loop detector. It probably misses some edge cases (or less probably, somehow escapes Mr. Turing's clutches), but seems to work for me as of now. In pseudocode form, here it goes:

subroutine bfexec(bfprogram)
begin
    Looping through the bfprogram,
        If(current character is '[')
            Find the corresponding ']'
            Store the code between the two brackets in, say, 'subprog'
            Save the value of the current cell in oldval
            Call bfexec recursively with subprog
            Save the value of the current cell in newval
            If(newval >= oldval)
                Raise an 'infinite loop' error and exit
            EndIf
        /* Do other character's processings */
        EndIf
    EndLoop
end

Answer 1

When I used linear genetic programming, I just used an upper bound for the number of instructions a single program was allowed to do in its lifetime. I think that this is sensible in two ways: I cannot really solve the halting problem anyway, and programs that take too long to compute are not worthy of getting more time anyway.