@inproceedings{e77e283b0a12498983539ccbfecec0db,
title = "Using Simulation to Approximate the Minimum Cost of a Finite Set of Alternatives",
abstract = "We consider the problem of approximating the minimum cost of a finite set of alternative systems. We can not directly observe the cost of the systems, but we can estimate the cost using simulation. The simulation run lengths are adaptively chosen for each system. We describe an optimization algorithm and establish a bound on the error convergence rate. Compared with a single system, the error grows by an additional factor of the square root of the logarithm of the number of systems and the simulation budget.",
author = "Cuicui Zheng and James Calvin",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Winter Simulation Conference, WSC 2019 ; Conference date: 08-12-2019 Through 11-12-2019",
year = "2019",
month = dec,
doi = "10.1109/WSC40007.2019.9004840",
language = "English (US)",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3428--3435",
booktitle = "2019 Winter Simulation Conference, WSC 2019",
address = "United States",
}