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Filtering by: Creator Semelhago, Mark Subject Operations research

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Computational Aspects of Discrete Optimization via Simulation with Gaussian Markov Random Fields

Description:

Optimization via simulation (OvS) is the practice of minimizing or maximizing the expected value of the output of a stochastic simulation model with respect to controllable decision variables. Stochastic simulation is a standard tool within operations research and is often required to model complex systems subject to uncertainty where it...

Keyword:

Optimization via Simulation, Optimization, and Stochastic Simulation

Subject:

Industrial engineering and Operations research

Creator:

Semelhago, Mark

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15377 and etdadmin_upload_779793