Regression Based Algorithm for Optimizing Top-K Selection in Simulation Query Language
Susan M. Farley, Alexander Brodsky, Chun‐Hung Chen · 2012
In this paper we propose an algorithm for optimizing simulation budget allocation while minimizing the total processing cost for top-k queries. We also implement this algorithm as part of SimQL: an extension of SQL that includes probability functions expressed through stochastic simulation.