abstract = "In problem domains such as robotic control, where the
evaluation of an individual significantly dominates the
rest of the evolutionary process with respect to time,
the viability of an evolutionary approach can be called
into question. In an effort to minimise the number of
evaluations by maximising the learning that takes place
during an evaluation, a new crossover operator for
genetic programming, memetic crossover, was recently
introduced. This work analyses the genealogical impact
of this operator at varying levels. Although diversity,
both in terms of individuals and nodes, is reduced in
memetic crossover, we show that memetic crossover is
capable of working with standard",
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.