Northwestern University

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Filtering by: Keyword robust optimization Language en

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Optimization under Variable Uncertainty

Description:

In this dissertation, we study models and methods to address uncertainties that can vary in optimization problems. Robust optimization is a popular approach for optimization under uncertainty, especially if limited information is available about the distribution of the uncertainty. It models the uncertainty through sets and finds a robust optimal...

Keyword:

variable uncertainty, optimization, decision dependent uncertainty, and robust optimization

Subject:

Industrial engineering and Operations research

Creator:

Sharma, Kartikey

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

04/29/2020

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_718511 and http://dissertations.umi.com/northwestern:14998