Abstract
This paper introduces a Minimum Description Length
(MDL) principle to define fitness functions in Genetic
Programming (GP). In traditional (Koza-style) GP, the
size of trees was usually controlled by user-defined
parameters, such as the maximum number of nodes and
maximum tree depth. Large tree sizes meant that the
time necessary to measure their fitnesses often
dominated total processing time. To overcome this
difficulty, we introduce a method for controlling tree
growth, which uses an...
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