Abstract
Population measures for genetic programs are defined
and analysed in an attempt to better understand the
behaviour of genetic programming. Some measures are
simple, but do not provide sufficient insight. The more
meaningful ones are complex and take extra computation
time. Here we present a unified view on the computation
of population measures through an information
hyper-tree (iTree). The iTree allows for a unified and
efficient calculation of population measures via a
basic tree traversal.
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