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Last update: February 19, 2014
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Enhanced RSE 2 Fitness Function
The Enhanced RSE 2 fitness function
is based on the
Relative Squared Error (RSE).
The RSE 2 component is implemented so that you can choose different
simple models besides the usual target average.
Moreover, the RSE 2 differs from the common RSE in the evaluation of the denominator term,
where instead of using the target output to calculate the difference between
the target and the simple model, the model output is used instead, resulting in a more dynamic,
forever adapting solution space.
The Enhanced RSE 2 fitness function can be combined
with a cost matrix in order to impose specific constraints on the
solutions.
See Also:
Related Tutorials:
Related Videos:
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