Karademir, Serdar
(2013)
Essays on Integer Programming in Military and Power Management Applications.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
This dissertation presents three essays on important problems motivated by military and power management applications. The array antenna design problem deals with optimal arrangements of substructures called subarrays. The considered class of the stochastic assignment problem addresses uncertainty of assignment weights over time. The well-studied deterministic counterpart of the problem has many applications including some classes of the weapon-target assignment. The speed scaling problem is of minimizing energy consumption of parallel processors in a data warehouse environment. We study each problem to discover its underlying structure and formulate tailored mathematical models. Exact, approximate, and heuristic solution approaches employing advanced optimization techniques are proposed. They are validated through simulations and their superiority is demonstrated through extensive computational experiments. Novelty of the developed methods and their methodological contribution to the field of Operations Research is discussed through out the dissertation.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
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Date: |
25 September 2013 |
Date Type: |
Publication |
Defense Date: |
1 July 2013 |
Approval Date: |
25 September 2013 |
Submission Date: |
18 July 2013 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Number of Pages: |
140 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Swanson School of Engineering > Industrial Engineering |
Degree: |
PhD - Doctor of Philosophy |
Thesis Type: |
Doctoral Dissertation |
Refereed: |
Yes |
Uncontrolled Keywords: |
optimization, integer programming, delayed column generation, entropy, antenna, radar |
Date Deposited: |
25 Sep 2013 14:34 |
Last Modified: |
15 Nov 2016 14:14 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/19341 |
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