Abstract
we experimentally show that the initialisation process
is very important for Grammar Guided Genetic
Programming (GGGP). In particular, using different
initialization strategies (algorithms) can lead to very
different overall results with GGGP. This is in strong
contrast with results previously reported for standard
Genetic Programming 9. We also show that on the
problems tried, the initialisation algorithm from Tree
Adjoining Grammar Guided Genetic Programming (TAG3P)
helps GGGP improve its performance compared with the
use of the standard initialisation algorithm proposed
in 10, 11
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