AI RESEARCH
On the Influence of the Feature Computation Budget on Per-Instance Algorithm Selection for Black-Box Optimization
arXiv CS.LG
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ArXi:2605.04954v1 Announce Type: cross Per-instance algorithm selection (PIAS) takes advantage of complementarity between a set of algorithms by deciding which algorithm to run on a given instance. This decision is based on features of the instances, which, in the context of black-box optimization (BBO), require a part of the optimization budget to be computed.