Lazy parameter tuning and control
Denis Antipov, Maxim Buzdalov, Benjamin Doerr · Proceedings of the Genetic and Evolutionary Computation Conference · 2021
Most evolutionary algorithms have multiple parameters and their values drastically affect the performance. Due to the often complicated interplay of the parameters, setting these values right for a particular problem is a challenging task. This task becomes even more complicated when the optimal parameter values change significantly during the run of the algorithm since then a dynamic parameter choice is necessary.