no code implementations • 7 Jul 2020 • George T. Hall, Pietro Simone Oliveto, Dirk Sudholt
Recent work has shown that the ParamRLS and ParamILS algorithm configurators can tune some simple randomised search heuristics for standard benchmark functions in linear expected time in the size of the parameter space.
1 code implementation • 9 Apr 2020 • George T. Hall, Pietro Simone Oliveto, Dirk Sudholt
To show this we prove that the simple ParamRLS-F configurator can identify the optimal mutation rates even when using cutoff times that are considerably smaller than the expected optimisation time of the best parameter value for both problem classes.
no code implementations • 12 Apr 2019 • George T. Hall, Pietro S. Oliveto, Dirk Sudholt
We evaluate the performance of a simple random local search configurator (ParamRLS) for tuning the neighbourhood size $k$ of the RLS$_k$ algorithm.