Bi-objective ranking and selection using stochastic kriging

Published: 01 Jan 2025, Last Modified: 15 May 2025Eur. J. Oper. Res. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A stochastic-kriging-based framework for bi-objective ranking and selection.•Two novel resampling criteria allocate budget efficiently.•Two novel screening procedures reduce the computational burden.•Accounting for the noise significantly improves the objective estimates.
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