Created by W.Langdon from gp-bibliography.bib Revision:1.7964
Previous research \cite{poli:2005:eurogp} started exploring the possibility of evolving the force generating equations which control the particles through the use of genetic programming (GP).
We independently verify the findings of \cite{poli:2005:eurogp} and then extend it by considering additional meaningful ingredients for the PSO force-generating equations, such as global measures of dispersion and position of the swarm. We show that, on a range of problems, GP can automatically generate new PSO algorithms that outperform standard human-generated as well as some previously evolved ones.",
ACM Order Number 910052, XPS, ACM gecco-2005 key 1068036",
Genetic Programming entries for Riccardo Poli Cecilia Di Chio William B Langdon