Created by W.Langdon from gp-bibliography.bib Revision:1.8010
- Random search is a good choice for said tuning.
- Robustness to hyper-parameter tuning is a desired quality of an evolutionary algorithm ...
- ... and if your algorithm requires very specific parameters, the chances of finding them are most likely slim at best. You're essentially in a needle-in-a-haystack situation in hyper-parameter space. Rethink and regroup.'
See blog entry: http://gpemjournal.blogspot.co.uk/2017/06/parameters-parameters-parameters_20.html
See \cite{Sipper2018}",
Genetic Programming entries for Moshe Sipper Weixuan Fu Karuna Ahuja Jason H Moore