| For some Function Finding problems it is important to evolve a model that performs well for all fitness cases within a certain absolute error (the
precision) of the correct value. For those cases, the fitness f(ij) of an individual program i for fitness case j is evaluated by the formula:
where p is the precision and E(ij) is the absolute error of an individual program i for fitness case j evaluated by the equation:
where P(ij) is the value predicted by the individual program
i for fitness case j and Tj is the target value for fitness case
j. fmax = n
where n is the number of fitness cases. |
