Abstract
When we have sufficient computational resources to treat a simulation optimization problem as a ranking & selection (R&S) problem, then it can be “solved.” R&S is exhaustive search-all feasible solutions are simulated-with meaningful statistical error control. High-performance parallel computing promises to extend the R&S limit to even larger problems, but parallelizing R&S procedures in a way that maintains statistical validity while achieving substantial speed-up is difficult. In this paper we introduce an entirely new framework for R&S called Parallel Adaptive Survivor Selection (PASS) that is specifically engineered to exploit parallel computing environments for solving simulation optimization problems with a very large number of feasible solutions.
Original language | English (US) |
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Title of host publication | WSC 2018 - 2018 Winter Simulation Conference |
Subtitle of host publication | Simulation for a Noble Cause |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2201-2212 |
Number of pages | 12 |
ISBN (Electronic) | 9781538665725 |
DOIs | |
State | Published - Jul 2 2018 |
Event | 2018 Winter Simulation Conference, WSC 2018 - Gothenburg, Sweden Duration: Dec 9 2018 → Dec 12 2018 |
Publication series
Name | Proceedings - Winter Simulation Conference |
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Volume | 2018-December |
ISSN (Print) | 0891-7736 |
Conference
Conference | 2018 Winter Simulation Conference, WSC 2018 |
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Country/Territory | Sweden |
City | Gothenburg |
Period | 12/9/18 → 12/12/18 |
Funding
Hunter’s research was partially supported by the National Science Foundation under Grant Number CMMI-1554144. Nelson and Pei’s research was partially supported by the National Science Foundation under Grant Number CMMI-1537060. Hunter's research was partially supported by the National Science Foundation under Grant Number CMMI-1554144. Nelson and Pei's research was partially supported by the National Science Foundation under Grant Number CMMI-1537060.
ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Computer Science Applications