Relating training instances to automatic design of algorithms for bin packing via features
Alexander E. I. Brownlee, John Robert Woodward, Nadarajen Veerapen · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2018
Automatic Design of Algorithms (ADA) treats algorithm choice and design as a machine learning problem, with problem instances as training data. However, this paper reveals that, as with classification and regression, for ADA not all training sets are equally valuable.