A set of tools for the usage of the e-shotgun algorithm for Bayesian optimization.
The e-shotgun was originally developed by "George De Ath, Richard M. Everson, Jonathan E. Fieldsend, and Alma A. M. Rahat. 2020.
e-shotgun : e-greedy Batch Bayesian Optimisation. In Genetic and Evolutionary Computation Conference (GECCO ’20), July 8–12, 2020, Cancún, Mexico.
ACM, New York, NY, USA, 9 pages."