abstract = "In genetic programming many methods to fight growth
exist. But most of these methods require one or
multiple parameters to be set. Unfortunately
performance strongly depends on a correct setting of
each of those parameters. Recently a semantically
driven tree optimiser has been developed. In this paper
two adaptive strategies to choose a reasonable
parameter setting for this growth limiter are
presented.",
notes = "GECCO-2007 A joint meeting of the sixteenth
international conference on genetic algorithms
(ICGA-2007) and the twelfth annual genetic programming
conference (GP-2007).