A new strategy for selecting good enough designs using optimal computing budget allocation
Fei Gao and
Siyang Gao
Journal of Simulation, 2018, vol. 12, issue 3, 238-247
Abstract:
In this paper, we consider the problem of selecting a subset of good designs from a finite set of simulated designs. Instead of selecting exactly the top r(r > 1) designs from k alternatives, our approach seeks to select r good enough designs which are defined as designs from the set of top g designs (r ≤ g
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:12:y:2018:i:3:p:238-247
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DOI: 10.1057/s41273-017-0058-9
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