Physically Informed Population Initialization Improves Bonobo Optimizer Searches for Atomic Cluster Global Minima
Reliable global optimization of atomic clusters is limited not only by the ruggedness of the potential energy surface but also by the quality of the starting population supplied to the search algorithm. We examine this issue for the Bonobo Optimizer (BO) using a workflow that combines external PyAR‐style population ini...