Inproceedings,
A New Technique for Dynamic Size Populations in Genetic Programming
Proceedings of the 2004 IEEE Congress on Evolutionary Computation, page 486--493. Portland, Oregon, IEEE Press, (20-23 June 2004)
Abstract
New techniques for dynamically changing the size of
populations during the execution of genetic programming
systems are proposed. Two models are presented,
allowing to add and suppress individuals on the basis
of some particular events occurring during the
evolution. These models allow to find solutions of
better quality, to save considerable amounts of
computational effort and to find optimal solutions more
quickly, at least for the set of problems studied here,
namely the artificial ant on the Santa Fe trail, the
even parity 5 problem and one instance of the symbolic
regression problem. Furthermore, these models have a
positive effect on the well known problem of bloat and
act without introducing additional computational
cost.
