Optimal sampling laws for bi-objective simulation optimization on finite sets

Abstract

We consider the bi-objective simulation optimization (SO) problem on finite sets, that is, an optimization problem where for each “system,” the two objective functions are estimated as output from a Monte Carlo simulation. The solution to this bi-objective SO problem is a set of non-dominated systems, also called the Pareto set. In this context, we derive… (More)

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