The optimizing-simulator: Merging simulation and optimization using approximate dynamic programming

Warren Buckler Powell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

There has long been a competition between simulation and optimization in the modeling of problems in transportation and logistics, machine scheduling and similar high-dimensional problems in operations research. Simulation strives to model operations, often using rule-based logic. Optimization strives to find the best possible solution, minimizing costs or maximizing profits. In this tutorial, we show how these two modeling technologies can be brought together, combining the flexibility of simulation with the intelligence of optimization.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 Winter Simulation Conference
Pages96-109
Number of pages14
DOIs
StatePublished - Dec 1 2005
Event2005 Winter Simulation Conference - Orlando, FL, United States
Duration: Dec 4 2005Dec 7 2005

Publication series

NameProceedings - Winter Simulation Conference
Volume2005
ISSN (Print)0891-7736

Other

Other2005 Winter Simulation Conference
CountryUnited States
CityOrlando, FL
Period12/4/0512/7/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Powell, W. B. (2005). The optimizing-simulator: Merging simulation and optimization using approximate dynamic programming. In Proceedings of the 2005 Winter Simulation Conference (pp. 96-109). [1574243] (Proceedings - Winter Simulation Conference; Vol. 2005). https://doi.org/10.1109/WSC.2005.1574243