Abstract
A representation-less model for genetic programming is
presented. The model is intended to examine the
mechanisms that lead to bloat in genetic programming
(GP). We discuss two hypotheses (fitness causes bloat
and neutral code is protective) and perform simulations
to examine the predictions deduced from these
hypotheses. Our observation is that predictions from
both hypotheses are realized in the simulated model.
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