abstract = "The hybridisation and combination of different
Evolutionary Algorithms to improve the quality of the
solutions and to accelerate execution is a common
research practice. In this paper, we use Genetic
Programming to evolve novel Differential Evolution
operators. The genetic evolution resulted in parameter
free Differential Evolution operators. Our experimental
results indicate that the performance of the
genetically programmed operators is comparable and in
some cases is considerably better than the already
existing human designed ones",
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.