Abstract
We propose replacing the traditional tree depth limit
in Genetic Programming by a single limit on the amount
of resources available to the whole population, where
resources are the tree nodes. The resource-limited
technique removes the disadvantages of using depth
limits at the individual level, while introducing
automatic population resizing, a natural side-effect of
using an approach at the population level. The results
show that the replacement of individual depth limits by
a population resource limit can be done without
impairing performance, thus validating this first and
important step towards a new approach to improving the
efficiency of GP.
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