Advanced search options

Sorted by: relevance · author · university · date | New search

You searched for `subject:(Robust optimization)`

.
Showing records 1 – 30 of
522 total matches.

◁ [1] [2] [3] [4] [5] … [18] ▶

Search Limiters

Dates

- 2017 – 2021 (210)
- 2012 – 2016 (214)
- 2007 – 2011 (87)
- 2002 – 2006 (20)

Universities

- National University of Singapore (28)
- Georgia Tech (24)
- Pontifical Catholic University of Rio de Janeiro (21)
- University of Waterloo (18)
- Delft University of Technology (17)
- University of Michigan (17)
- Penn State University (10)
- University of Illinois – Urbana-Champaign (10)
- University of Manchester (10)
- University of Toronto (10)

Department

Degrees

- PhD (155)
- Docteur es (69)
- MS (16)

Languages

- English (331)
- Portuguese (43)
- French (34)

▼ Search Limiters

Università della Svizzera italiana

1.
Mutsanas, Nikos.
Approximability of precedence constrained and *robust*
scheduling problems.

Degree: 2010, Università della Svizzera italiana

URL: http://doc.rero.ch/record/18217

► We study the approximability of scheduling problems in different contexts. We first give a short introduction to the field of scheduling theory and present a…
(more)

Subjects/Keywords: Robust optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Mutsanas, N. (2010). Approximability of precedence constrained and robust scheduling problems. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/18217

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mutsanas, Nikos. “Approximability of precedence constrained and robust scheduling problems.” 2010. Thesis, Università della Svizzera italiana. Accessed May 11, 2021. http://doc.rero.ch/record/18217.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mutsanas, Nikos. “Approximability of precedence constrained and robust scheduling problems.” 2010. Web. 11 May 2021.

Vancouver:

Mutsanas N. Approximability of precedence constrained and robust scheduling problems. [Internet] [Thesis]. Università della Svizzera italiana; 2010. [cited 2021 May 11]. Available from: http://doc.rero.ch/record/18217.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mutsanas N. Approximability of precedence constrained and robust scheduling problems. [Thesis]. Università della Svizzera italiana; 2010. Available from: http://doc.rero.ch/record/18217

Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

2.
Chiscop, Irina (author).
A *robust* *optimization* approach to synchromodal container transportation.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:f2e84a4a-aef4-45b5-a9d0-e97afd17b04b

► This thesis addresses synchromodal planning at operational level from the perspective of a logistics service provider. The existing infrastructure and the transportation activities are studied…
(more)

Subjects/Keywords: Synchromodal; Robust; Optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Chiscop, I. (. (2018). A robust optimization approach to synchromodal container transportation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f2e84a4a-aef4-45b5-a9d0-e97afd17b04b

Chicago Manual of Style (16^{th} Edition):

Chiscop, Irina (author). “A robust optimization approach to synchromodal container transportation.” 2018. Masters Thesis, Delft University of Technology. Accessed May 11, 2021. http://resolver.tudelft.nl/uuid:f2e84a4a-aef4-45b5-a9d0-e97afd17b04b.

MLA Handbook (7^{th} Edition):

Chiscop, Irina (author). “A robust optimization approach to synchromodal container transportation.” 2018. Web. 11 May 2021.

Vancouver:

Chiscop I(. A robust optimization approach to synchromodal container transportation. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 May 11]. Available from: http://resolver.tudelft.nl/uuid:f2e84a4a-aef4-45b5-a9d0-e97afd17b04b.

Council of Science Editors:

Chiscop I(. A robust optimization approach to synchromodal container transportation. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:f2e84a4a-aef4-45b5-a9d0-e97afd17b04b

University of Minnesota

3.
Moulton, Jeffrey.
* Robust* Fragmentation: A Data-Driven Approach to Decision-Making Under Distributional Ambiguity.

Degree: PhD, Mathematics, 2016, University of Minnesota

URL: http://hdl.handle.net/11299/182165

► Decision makers often must consider many different possible future scenarios when they make a decision. A manager must choose inventory levels to maximize profit when…
(more)

Subjects/Keywords: clustering; distributionally robust optimization; fragmentation; newsvendor; robust

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Moulton, J. (2016). Robust Fragmentation: A Data-Driven Approach to Decision-Making Under Distributional Ambiguity. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182165

Chicago Manual of Style (16^{th} Edition):

Moulton, Jeffrey. “Robust Fragmentation: A Data-Driven Approach to Decision-Making Under Distributional Ambiguity.” 2016. Doctoral Dissertation, University of Minnesota. Accessed May 11, 2021. http://hdl.handle.net/11299/182165.

MLA Handbook (7^{th} Edition):

Moulton, Jeffrey. “Robust Fragmentation: A Data-Driven Approach to Decision-Making Under Distributional Ambiguity.” 2016. Web. 11 May 2021.

Vancouver:

Moulton J. Robust Fragmentation: A Data-Driven Approach to Decision-Making Under Distributional Ambiguity. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2021 May 11]. Available from: http://hdl.handle.net/11299/182165.

Council of Science Editors:

Moulton J. Robust Fragmentation: A Data-Driven Approach to Decision-Making Under Distributional Ambiguity. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182165

Oregon State University

4. Mokhtari, Zahra. Incorporating Uncertainty in Truckload Relay Network Design.

Degree: PhD, Industrial Engineering, 2017, Oregon State University

URL: http://hdl.handle.net/1957/60591

► In a relay network for full truckload (TL) transportation, facilities known as relay points (RPs) serve as exchange points where truck drivers can exchange trailers.…
(more)

Subjects/Keywords: truckload transportation; Robust optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Mokhtari, Z. (2017). Incorporating Uncertainty in Truckload Relay Network Design. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/60591

Chicago Manual of Style (16^{th} Edition):

Mokhtari, Zahra. “Incorporating Uncertainty in Truckload Relay Network Design.” 2017. Doctoral Dissertation, Oregon State University. Accessed May 11, 2021. http://hdl.handle.net/1957/60591.

MLA Handbook (7^{th} Edition):

Mokhtari, Zahra. “Incorporating Uncertainty in Truckload Relay Network Design.” 2017. Web. 11 May 2021.

Vancouver:

Mokhtari Z. Incorporating Uncertainty in Truckload Relay Network Design. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2021 May 11]. Available from: http://hdl.handle.net/1957/60591.

Council of Science Editors:

Mokhtari Z. Incorporating Uncertainty in Truckload Relay Network Design. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60591

Hong Kong University of Science and Technology

5. Pan, Lingyi. Assignment in ridesharing with uncertainties.

Degree: 2020, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-108676 ; https://doi.org/10.14711/thesis-991012872965803412 ; http://repository.ust.hk/ir/bitstream/1783.1-108676/1/th_redirect.html

► We propose a *robust* model to study the multi-period assignment problem in ridesharing in which both demand and travel time are uncertain. We consider finite…
(more)

Subjects/Keywords: Ridesharing ; Uncertainty ; Robust optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Pan, L. (2020). Assignment in ridesharing with uncertainties. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-108676 ; https://doi.org/10.14711/thesis-991012872965803412 ; http://repository.ust.hk/ir/bitstream/1783.1-108676/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Pan, Lingyi. “Assignment in ridesharing with uncertainties.” 2020. Thesis, Hong Kong University of Science and Technology. Accessed May 11, 2021. http://repository.ust.hk/ir/Record/1783.1-108676 ; https://doi.org/10.14711/thesis-991012872965803412 ; http://repository.ust.hk/ir/bitstream/1783.1-108676/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pan, Lingyi. “Assignment in ridesharing with uncertainties.” 2020. Web. 11 May 2021.

Vancouver:

Pan L. Assignment in ridesharing with uncertainties. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2020. [cited 2021 May 11]. Available from: http://repository.ust.hk/ir/Record/1783.1-108676 ; https://doi.org/10.14711/thesis-991012872965803412 ; http://repository.ust.hk/ir/bitstream/1783.1-108676/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pan L. Assignment in ridesharing with uncertainties. [Thesis]. Hong Kong University of Science and Technology; 2020. Available from: http://repository.ust.hk/ir/Record/1783.1-108676 ; https://doi.org/10.14711/thesis-991012872965803412 ; http://repository.ust.hk/ir/bitstream/1783.1-108676/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

University of Ottawa

6.
Mahdavi, Roshanak.
An Adjustable *Robust* *Optimization* Approach to Multi-objective Personnel Scheduling Under Uncertain Demand: A Case Study at a Pathology Department.

Degree: MSc, Gestion / Management, 2020, University of Ottawa

URL: http://dx.doi.org/10.20381/ruor-25202

► In this thesis, we address a multi-objective personnel scheduling problem where personnel’s workload is uncertain and propose a two-stage *robust* modelling approach with demand uncertainty.…
(more)

Subjects/Keywords: Personnel Scheduling; Robust Optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Mahdavi, R. (2020). An Adjustable Robust Optimization Approach to Multi-objective Personnel Scheduling Under Uncertain Demand: A Case Study at a Pathology Department. (Masters Thesis). University of Ottawa. Retrieved from http://dx.doi.org/10.20381/ruor-25202

Chicago Manual of Style (16^{th} Edition):

Mahdavi, Roshanak. “An Adjustable Robust Optimization Approach to Multi-objective Personnel Scheduling Under Uncertain Demand: A Case Study at a Pathology Department.” 2020. Masters Thesis, University of Ottawa. Accessed May 11, 2021. http://dx.doi.org/10.20381/ruor-25202.

MLA Handbook (7^{th} Edition):

Mahdavi, Roshanak. “An Adjustable Robust Optimization Approach to Multi-objective Personnel Scheduling Under Uncertain Demand: A Case Study at a Pathology Department.” 2020. Web. 11 May 2021.

Vancouver:

Mahdavi R. An Adjustable Robust Optimization Approach to Multi-objective Personnel Scheduling Under Uncertain Demand: A Case Study at a Pathology Department. [Internet] [Masters thesis]. University of Ottawa; 2020. [cited 2021 May 11]. Available from: http://dx.doi.org/10.20381/ruor-25202.

Council of Science Editors:

Mahdavi R. An Adjustable Robust Optimization Approach to Multi-objective Personnel Scheduling Under Uncertain Demand: A Case Study at a Pathology Department. [Masters Thesis]. University of Ottawa; 2020. Available from: http://dx.doi.org/10.20381/ruor-25202

University of Texas – Austin

7. Sathasivan, Kanthimathi. Optimizing cross-dock operations under uncertainty.

Degree: PhD, Civil Engineering, 2011, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2011-12-4589

► Cross-docking is an important transportation logistics strategy in supply chain management which reduces transportation costs, inventory holding costs, order-picking costs and response time. Careful planning…
(more)

Subjects/Keywords: Cross-docking; Uncertainty; Robust optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Sathasivan, K. (2011). Optimizing cross-dock operations under uncertainty. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-12-4589

Chicago Manual of Style (16^{th} Edition):

Sathasivan, Kanthimathi. “Optimizing cross-dock operations under uncertainty.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed May 11, 2021. http://hdl.handle.net/2152/ETD-UT-2011-12-4589.

MLA Handbook (7^{th} Edition):

Sathasivan, Kanthimathi. “Optimizing cross-dock operations under uncertainty.” 2011. Web. 11 May 2021.

Vancouver:

Sathasivan K. Optimizing cross-dock operations under uncertainty. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2021 May 11]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4589.

Council of Science Editors:

Sathasivan K. Optimizing cross-dock operations under uncertainty. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4589

University of Toronto

8.
Kaw, Neal.
Inverse linear *optimization* for the recovery of constraint parameters in *robust* and non-*robust* problems.

Degree: 2017, University of Toronto

URL: http://hdl.handle.net/1807/79311

►

Most inverse *optimization* models impute unspecified parameters of an objective function to make an observed solution optimal for a given *optimization* problem. In this thesis,…
(more)

Subjects/Keywords: Inverse optimization; Nonlinear programming; Robust optimization; 0796

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Kaw, N. (2017). Inverse linear optimization for the recovery of constraint parameters in robust and non-robust problems. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79311

Chicago Manual of Style (16^{th} Edition):

Kaw, Neal. “Inverse linear optimization for the recovery of constraint parameters in robust and non-robust problems.” 2017. Masters Thesis, University of Toronto. Accessed May 11, 2021. http://hdl.handle.net/1807/79311.

MLA Handbook (7^{th} Edition):

Kaw, Neal. “Inverse linear optimization for the recovery of constraint parameters in robust and non-robust problems.” 2017. Web. 11 May 2021.

Vancouver:

Kaw N. Inverse linear optimization for the recovery of constraint parameters in robust and non-robust problems. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2021 May 11]. Available from: http://hdl.handle.net/1807/79311.

Council of Science Editors:

Kaw N. Inverse linear optimization for the recovery of constraint parameters in robust and non-robust problems. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79311

Columbia University

9.
Kang, Yang.
Distributionally *Robust* *Optimization* and its Applications in Machine Learning.

Degree: 2017, Columbia University

URL: https://doi.org/10.7916/D8WD4C1R

► The goal of Distributionally *Robust* *Optimization* (DRO) is to minimize the cost of running a stochastic system, under the assumption that an adversary can replace…
(more)

Subjects/Keywords: Statistics; Robust optimization; Machine learning; Mathematical optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Kang, Y. (2017). Distributionally Robust Optimization and its Applications in Machine Learning. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8WD4C1R

Chicago Manual of Style (16^{th} Edition):

Kang, Yang. “Distributionally Robust Optimization and its Applications in Machine Learning.” 2017. Doctoral Dissertation, Columbia University. Accessed May 11, 2021. https://doi.org/10.7916/D8WD4C1R.

MLA Handbook (7^{th} Edition):

Kang, Yang. “Distributionally Robust Optimization and its Applications in Machine Learning.” 2017. Web. 11 May 2021.

Vancouver:

Kang Y. Distributionally Robust Optimization and its Applications in Machine Learning. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2021 May 11]. Available from: https://doi.org/10.7916/D8WD4C1R.

Council of Science Editors:

Kang Y. Distributionally Robust Optimization and its Applications in Machine Learning. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D8WD4C1R

University of Manchester

10.
Yang, Xiao.
Operational *Optimization* of Crude Oil Distillation
Systems with Limited Information.

Degree: 2020, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323546

► Crude oil distillation is the locomotive of refining and petrochemical industries. Due to massive throughput and energy demand of industrial crude oil distillation systems, even…
(more)

Subjects/Keywords: operational optimization; crude oil distillation; real-time optimization; robust optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Yang, X. (2020). Operational Optimization of Crude Oil Distillation Systems with Limited Information. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323546

Chicago Manual of Style (16^{th} Edition):

Yang, Xiao. “Operational Optimization of Crude Oil Distillation Systems with Limited Information.” 2020. Doctoral Dissertation, University of Manchester. Accessed May 11, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323546.

MLA Handbook (7^{th} Edition):

Yang, Xiao. “Operational Optimization of Crude Oil Distillation Systems with Limited Information.” 2020. Web. 11 May 2021.

Vancouver:

Yang X. Operational Optimization of Crude Oil Distillation Systems with Limited Information. [Internet] [Doctoral dissertation]. University of Manchester; 2020. [cited 2021 May 11]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323546.

Council of Science Editors:

Yang X. Operational Optimization of Crude Oil Distillation Systems with Limited Information. [Doctoral Dissertation]. University of Manchester; 2020. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323546

11.
Yang, Xiao.
Operational *optimization* of crude oil distillation systems with limited information.

Degree: PhD, 2019, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/operational-optimization-of-crude-oil-distillation-systems-with-limited-information(b20546db-e448-4a69-a225-9293554007a4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799416

► Crude oil distillation is the locomotive of refining and petrochemical industries. Due to massive throughput and energy demand of industrial crude oil distillation systems, even…
(more)

Subjects/Keywords: robust optimization; real-time optimization; operational optimization; crude oil distillation

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Yang, X. (2019). Operational optimization of crude oil distillation systems with limited information. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/operational-optimization-of-crude-oil-distillation-systems-with-limited-information(b20546db-e448-4a69-a225-9293554007a4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799416

Chicago Manual of Style (16^{th} Edition):

Yang, Xiao. “Operational optimization of crude oil distillation systems with limited information.” 2019. Doctoral Dissertation, University of Manchester. Accessed May 11, 2021. https://www.research.manchester.ac.uk/portal/en/theses/operational-optimization-of-crude-oil-distillation-systems-with-limited-information(b20546db-e448-4a69-a225-9293554007a4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799416.

MLA Handbook (7^{th} Edition):

Yang, Xiao. “Operational optimization of crude oil distillation systems with limited information.” 2019. Web. 11 May 2021.

Vancouver:

Yang X. Operational optimization of crude oil distillation systems with limited information. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2021 May 11]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/operational-optimization-of-crude-oil-distillation-systems-with-limited-information(b20546db-e448-4a69-a225-9293554007a4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799416.

Council of Science Editors:

Yang X. Operational optimization of crude oil distillation systems with limited information. [Doctoral Dissertation]. University of Manchester; 2019. Available from: https://www.research.manchester.ac.uk/portal/en/theses/operational-optimization-of-crude-oil-distillation-systems-with-limited-information(b20546db-e448-4a69-a225-9293554007a4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799416

12.
Espinoza García, Juan Carlos.
*Robust**optimization* for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise.

Degree: Docteur es, Sciences de gestion, 2017, Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales

URL: http://www.theses.fr/2017ESEC0004

►

L’objectif de cette thèse est de proposer des solutions efficaces à des problèmes de décision qui ont un impact sur la vie des citoyens, et… (more)

Subjects/Keywords: Optimisation robust; Modèles de choix; Robust optimization; Location problems; Choice models

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Espinoza García, J. C. (2017). Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise. (Doctoral Dissertation). Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales. Retrieved from http://www.theses.fr/2017ESEC0004

Chicago Manual of Style (16^{th} Edition):

Espinoza García, Juan Carlos. “Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise.” 2017. Doctoral Dissertation, Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales. Accessed May 11, 2021. http://www.theses.fr/2017ESEC0004.

MLA Handbook (7^{th} Edition):

Espinoza García, Juan Carlos. “Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise.” 2017. Web. 11 May 2021.

Vancouver:

Espinoza García JC. Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise. [Internet] [Doctoral dissertation]. Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales; 2017. [cited 2021 May 11]. Available from: http://www.theses.fr/2017ESEC0004.

Council of Science Editors:

Espinoza García JC. Robust optimization for discrete structures and non-linear impact of uncertainty : Gouverner ou être gouverné ? : L'agence en conseil de vote, un acteur en construction dans la gouvernance d'entreprise. [Doctoral Dissertation]. Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales; 2017. Available from: http://www.theses.fr/2017ESEC0004

Mississippi State University

13. Baez-Rivera, Yamilka Isabel. CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP.

Degree: PhD, Electrical and Computer Engineering, 2011, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;

► <p class=Basictextdouble-spaced>The next generation of U.S. Navy ships will see the integration of the propulsion and electrical systems as part of the all-electric ship.<span style='mso-spacerun:yes'>…
(more)

Subjects/Keywords: optimization; stability; shipboard power systems; robust control

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Baez-Rivera, Y. I. (2011). CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;

Chicago Manual of Style (16^{th} Edition):

Baez-Rivera, Yamilka Isabel. “CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP.” 2011. Doctoral Dissertation, Mississippi State University. Accessed May 11, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;.

MLA Handbook (7^{th} Edition):

Baez-Rivera, Yamilka Isabel. “CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP.” 2011. Web. 11 May 2021.

Vancouver:

Baez-Rivera YI. CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP. [Internet] [Doctoral dissertation]. Mississippi State University; 2011. [cited 2021 May 11]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;.

Council of Science Editors:

Baez-Rivera YI. CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP. [Doctoral Dissertation]. Mississippi State University; 2011. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;

University of Houston

14.
-5175-3131.
Intensity Modulated Proton Therapy *Optimization* Under Uncertainty: Field Misalignment and Internal Organ Motion.

Degree: PhD, Industrial Engineering, 2016, University of Houston

URL: http://hdl.handle.net/10657/5441

► Intensity modulated proton therapy (IMPT) is one of the most advanced forms of radiation therapy, which can deliver a highly conformal dose to the tumor…
(more)

Subjects/Keywords: Intensity Modulated Proton Therapy; Robust optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

-5175-3131. (2016). Intensity Modulated Proton Therapy Optimization Under Uncertainty: Field Misalignment and Internal Organ Motion. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/5441

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-5175-3131. “Intensity Modulated Proton Therapy Optimization Under Uncertainty: Field Misalignment and Internal Organ Motion.” 2016. Doctoral Dissertation, University of Houston. Accessed May 11, 2021. http://hdl.handle.net/10657/5441.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-5175-3131. “Intensity Modulated Proton Therapy Optimization Under Uncertainty: Field Misalignment and Internal Organ Motion.” 2016. Web. 11 May 2021.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Vancouver:

-5175-3131. Intensity Modulated Proton Therapy Optimization Under Uncertainty: Field Misalignment and Internal Organ Motion. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2021 May 11]. Available from: http://hdl.handle.net/10657/5441.

Author name may be incomplete

Council of Science Editors:

-5175-3131. Intensity Modulated Proton Therapy Optimization Under Uncertainty: Field Misalignment and Internal Organ Motion. [Doctoral Dissertation]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/5441

Author name may be incomplete

Columbia University

15. Qu, Qing. Nonconvex Recovery of Low-complexity Models.

Degree: 2018, Columbia University

URL: https://doi.org/10.7916/D8TJ04K8

► Today we are living in the era of big data, there is a pressing need for efficient, scalable and *robust* *optimization* methods to analyze the…
(more)

Subjects/Keywords: Electrical engineering; Nonconvex programming; Robust optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Qu, Q. (2018). Nonconvex Recovery of Low-complexity Models. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8TJ04K8

Chicago Manual of Style (16^{th} Edition):

Qu, Qing. “Nonconvex Recovery of Low-complexity Models.” 2018. Doctoral Dissertation, Columbia University. Accessed May 11, 2021. https://doi.org/10.7916/D8TJ04K8.

MLA Handbook (7^{th} Edition):

Qu, Qing. “Nonconvex Recovery of Low-complexity Models.” 2018. Web. 11 May 2021.

Vancouver:

Qu Q. Nonconvex Recovery of Low-complexity Models. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2021 May 11]. Available from: https://doi.org/10.7916/D8TJ04K8.

Council of Science Editors:

Qu Q. Nonconvex Recovery of Low-complexity Models. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D8TJ04K8

Hong Kong University of Science and Technology

16.
Sun, Ying.
Majorization-minimization algorithm and its applications in *robust* covariance matrix estimation.

Degree: 2016, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-86941 ; https://doi.org/10.14711/thesis-b1626265 ; http://repository.ust.hk/ir/bitstream/1783.1-86941/1/th_redirect.html

► Covariance estimation has been a fundamental and long existing problem, closely related to various fields including multi-antenna communication systems, social networks, bioinformatics, and financial engineering.…
(more)

Subjects/Keywords: Analysis of covariance ; Estimation theory ; Robust optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Sun, Y. (2016). Majorization-minimization algorithm and its applications in robust covariance matrix estimation. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-86941 ; https://doi.org/10.14711/thesis-b1626265 ; http://repository.ust.hk/ir/bitstream/1783.1-86941/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Sun, Ying. “Majorization-minimization algorithm and its applications in robust covariance matrix estimation.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed May 11, 2021. http://repository.ust.hk/ir/Record/1783.1-86941 ; https://doi.org/10.14711/thesis-b1626265 ; http://repository.ust.hk/ir/bitstream/1783.1-86941/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sun, Ying. “Majorization-minimization algorithm and its applications in robust covariance matrix estimation.” 2016. Web. 11 May 2021.

Vancouver:

Sun Y. Majorization-minimization algorithm and its applications in robust covariance matrix estimation. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2021 May 11]. Available from: http://repository.ust.hk/ir/Record/1783.1-86941 ; https://doi.org/10.14711/thesis-b1626265 ; http://repository.ust.hk/ir/bitstream/1783.1-86941/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun Y. Majorization-minimization algorithm and its applications in robust covariance matrix estimation. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-86941 ; https://doi.org/10.14711/thesis-b1626265 ; http://repository.ust.hk/ir/bitstream/1783.1-86941/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

17.
Lorca Galvez, Alvaro Hugo.
*Robust**optimization* for renewable energy integration in power system operations.

Degree: PhD, Industrial and Systems Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/55653

► *Optimization* provides critical support for the operation of electric power systems. As power systems evolve, enhanced operational methodologies are required, and innovative *optimization* models have…
(more)

Subjects/Keywords: Robust optimization; Power system operations; Renewable energy

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Lorca Galvez, A. H. (2016). Robust optimization for renewable energy integration in power system operations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55653

Chicago Manual of Style (16^{th} Edition):

Lorca Galvez, Alvaro Hugo. “Robust optimization for renewable energy integration in power system operations.” 2016. Doctoral Dissertation, Georgia Tech. Accessed May 11, 2021. http://hdl.handle.net/1853/55653.

MLA Handbook (7^{th} Edition):

Lorca Galvez, Alvaro Hugo. “Robust optimization for renewable energy integration in power system operations.” 2016. Web. 11 May 2021.

Vancouver:

Lorca Galvez AH. Robust optimization for renewable energy integration in power system operations. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 May 11]. Available from: http://hdl.handle.net/1853/55653.

Council of Science Editors:

Lorca Galvez AH. Robust optimization for renewable energy integration in power system operations. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55653

Lehigh University

18.
Dong, Yang.
* Robust* Performance Attribution Analysis in Investment Management.

Degree: PhD, Information and Systems Engineering, 2014, Lehigh University

URL: https://preserve.lehigh.edu/etd/1474

► This dissertation investigates *robust* *optimization* models for performance attribution analysis in investment management. Specifically, an investment manager seeks to evaluate the performance of fund managers…
(more)

Subjects/Keywords: Portfolio management; Robust optimization; Uncertainty; Engineering

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Dong, Y. (2014). Robust Performance Attribution Analysis in Investment Management. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1474

Chicago Manual of Style (16^{th} Edition):

Dong, Yang. “Robust Performance Attribution Analysis in Investment Management.” 2014. Doctoral Dissertation, Lehigh University. Accessed May 11, 2021. https://preserve.lehigh.edu/etd/1474.

MLA Handbook (7^{th} Edition):

Dong, Yang. “Robust Performance Attribution Analysis in Investment Management.” 2014. Web. 11 May 2021.

Vancouver:

Dong Y. Robust Performance Attribution Analysis in Investment Management. [Internet] [Doctoral dissertation]. Lehigh University; 2014. [cited 2021 May 11]. Available from: https://preserve.lehigh.edu/etd/1474.

Council of Science Editors:

Dong Y. Robust Performance Attribution Analysis in Investment Management. [Doctoral Dissertation]. Lehigh University; 2014. Available from: https://preserve.lehigh.edu/etd/1474

University of Pennsylvania

19.
Fazlyab, Mahyar.
Control Theoretic Methods In Analysis And Design Of *Optimization* Algorithms.

Degree: 2018, University of Pennsylvania

URL: https://repository.upenn.edu/edissertations/3066

► Recently, there has been a surge of interest in incorporating tools from dynamical systems and control theory to analyze and design iterative *optimization* algorithms. This…
(more)

Subjects/Keywords: Iterative Algorithms; Numerical Optimization; Robust Control; Engineering

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Fazlyab, M. (2018). Control Theoretic Methods In Analysis And Design Of Optimization Algorithms. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/3066

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Fazlyab, Mahyar. “Control Theoretic Methods In Analysis And Design Of Optimization Algorithms.” 2018. Thesis, University of Pennsylvania. Accessed May 11, 2021. https://repository.upenn.edu/edissertations/3066.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Fazlyab, Mahyar. “Control Theoretic Methods In Analysis And Design Of Optimization Algorithms.” 2018. Web. 11 May 2021.

Vancouver:

Fazlyab M. Control Theoretic Methods In Analysis And Design Of Optimization Algorithms. [Internet] [Thesis]. University of Pennsylvania; 2018. [cited 2021 May 11]. Available from: https://repository.upenn.edu/edissertations/3066.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fazlyab M. Control Theoretic Methods In Analysis And Design Of Optimization Algorithms. [Thesis]. University of Pennsylvania; 2018. Available from: https://repository.upenn.edu/edissertations/3066

Not specified: Masters Thesis or Doctoral Dissertation

University of Oregon

20.
Torkamani, MohamadAli.
* Robust* Large Margin Approaches for Machine Learning in Adversarial Settings.

Degree: PhD, Department of Computer and Information Science, 2016, University of Oregon

URL: http://hdl.handle.net/1794/20677

► Machine learning algorithms are invented to learn from data and to use data to perform predictions and analyses. Many agencies are now using machine learning…
(more)

Subjects/Keywords: Adversarial machine learning; Convex optimization; Customized regularization; Dropout; Robust machine learning; Robust optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Torkamani, M. (2016). Robust Large Margin Approaches for Machine Learning in Adversarial Settings. (Doctoral Dissertation). University of Oregon. Retrieved from http://hdl.handle.net/1794/20677

Chicago Manual of Style (16^{th} Edition):

Torkamani, MohamadAli. “Robust Large Margin Approaches for Machine Learning in Adversarial Settings.” 2016. Doctoral Dissertation, University of Oregon. Accessed May 11, 2021. http://hdl.handle.net/1794/20677.

MLA Handbook (7^{th} Edition):

Torkamani, MohamadAli. “Robust Large Margin Approaches for Machine Learning in Adversarial Settings.” 2016. Web. 11 May 2021.

Vancouver:

Torkamani M. Robust Large Margin Approaches for Machine Learning in Adversarial Settings. [Internet] [Doctoral dissertation]. University of Oregon; 2016. [cited 2021 May 11]. Available from: http://hdl.handle.net/1794/20677.

Council of Science Editors:

Torkamani M. Robust Large Margin Approaches for Machine Learning in Adversarial Settings. [Doctoral Dissertation]. University of Oregon; 2016. Available from: http://hdl.handle.net/1794/20677

Cornell University

21.
Ning, Chao.
DATA-DRIVEN *OPTIMIZATION* UNDER UNCERTAINTY IN THE ERA OF BIG DATA AND DEEP LEARNING: GENERAL FRAMEWORKS, ALGORITHMS, AND APPLICATIONS.

Degree: PhD, Chemical Engineering, 2020, Cornell University

URL: http://hdl.handle.net/1813/102966

► This dissertation deals with the development of fundamental data-driven *optimization* under uncertainty, including its modeling frameworks, solution algorithms, and a wide variety of applications. Specifically,…
(more)

Subjects/Keywords: Data-driven optimization; Machine learning; Model predictive control; Optimization under uncertainty; Robust optimization; Stochastic optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ning, C. (2020). DATA-DRIVEN OPTIMIZATION UNDER UNCERTAINTY IN THE ERA OF BIG DATA AND DEEP LEARNING: GENERAL FRAMEWORKS, ALGORITHMS, AND APPLICATIONS. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/102966

Chicago Manual of Style (16^{th} Edition):

Ning, Chao. “DATA-DRIVEN OPTIMIZATION UNDER UNCERTAINTY IN THE ERA OF BIG DATA AND DEEP LEARNING: GENERAL FRAMEWORKS, ALGORITHMS, AND APPLICATIONS.” 2020. Doctoral Dissertation, Cornell University. Accessed May 11, 2021. http://hdl.handle.net/1813/102966.

MLA Handbook (7^{th} Edition):

Ning, Chao. “DATA-DRIVEN OPTIMIZATION UNDER UNCERTAINTY IN THE ERA OF BIG DATA AND DEEP LEARNING: GENERAL FRAMEWORKS, ALGORITHMS, AND APPLICATIONS.” 2020. Web. 11 May 2021.

Vancouver:

Ning C. DATA-DRIVEN OPTIMIZATION UNDER UNCERTAINTY IN THE ERA OF BIG DATA AND DEEP LEARNING: GENERAL FRAMEWORKS, ALGORITHMS, AND APPLICATIONS. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2021 May 11]. Available from: http://hdl.handle.net/1813/102966.

Council of Science Editors:

Ning C. DATA-DRIVEN OPTIMIZATION UNDER UNCERTAINTY IN THE ERA OF BIG DATA AND DEEP LEARNING: GENERAL FRAMEWORKS, ALGORITHMS, AND APPLICATIONS. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/102966

22.
Kurtz, Jannis.
Min-max-min *robust* combinatorial * optimization*.

Degree: 2016, Technische Universität Dortmund

URL: http://dx.doi.org/10.17877/DE290R-17366

► In this thesis we introduce a *robust* *optimization* approach which is based on a binary min-max-min problem. The so called Min-max-min *Robust* *Optimization* extends the…
(more)

Subjects/Keywords: Min-max-min; Robust optimization; Combinatorial optimization; 510; Robuste Optimierung; Komplexität

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Kurtz, J. (2016). Min-max-min robust combinatorial optimization. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-17366

Chicago Manual of Style (16^{th} Edition):

Kurtz, Jannis. “Min-max-min robust combinatorial optimization.” 2016. Doctoral Dissertation, Technische Universität Dortmund. Accessed May 11, 2021. http://dx.doi.org/10.17877/DE290R-17366.

MLA Handbook (7^{th} Edition):

Kurtz, Jannis. “Min-max-min robust combinatorial optimization.” 2016. Web. 11 May 2021.

Vancouver:

Kurtz J. Min-max-min robust combinatorial optimization. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2016. [cited 2021 May 11]. Available from: http://dx.doi.org/10.17877/DE290R-17366.

Council of Science Editors:

Kurtz J. Min-max-min robust combinatorial optimization. [Doctoral Dissertation]. Technische Universität Dortmund; 2016. Available from: http://dx.doi.org/10.17877/DE290R-17366

23.
Bindewald, Viktor.
Bulk-*robust* assignment problems: hardness, approximability and algorithms.

Degree: 2017, Technische Universität Dortmund

URL: http://dx.doi.org/10.17877/DE290R-19108

► Diese Dissertation behandelt robuste Zuordnungsprobleme mit dem Schwerpunkt auf deren komlexitätstheoretischen Eigenschaften. Zuordnungsprobleme sind gut untersuchte kombinatorische Optimierungsprobleme mit vielen praktischen Anwendungen, z. B. in…
(more)

Subjects/Keywords: Combinatorial optimization; Robust optimization; Matchings; 510; Zuordnungsproblem; Robuste Optimierung

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bindewald, V. (2017). Bulk-robust assignment problems: hardness, approximability and algorithms. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-19108

Chicago Manual of Style (16^{th} Edition):

Bindewald, Viktor. “Bulk-robust assignment problems: hardness, approximability and algorithms.” 2017. Doctoral Dissertation, Technische Universität Dortmund. Accessed May 11, 2021. http://dx.doi.org/10.17877/DE290R-19108.

MLA Handbook (7^{th} Edition):

Bindewald, Viktor. “Bulk-robust assignment problems: hardness, approximability and algorithms.” 2017. Web. 11 May 2021.

Vancouver:

Bindewald V. Bulk-robust assignment problems: hardness, approximability and algorithms. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2017. [cited 2021 May 11]. Available from: http://dx.doi.org/10.17877/DE290R-19108.

Council of Science Editors:

Bindewald V. Bulk-robust assignment problems: hardness, approximability and algorithms. [Doctoral Dissertation]. Technische Universität Dortmund; 2017. Available from: http://dx.doi.org/10.17877/DE290R-19108

Columbia University

24.
Lu, Brian Yin.
Essays on Approximation Algorithms for *Robust* Linear *Optimization* Problems.

Degree: 2016, Columbia University

URL: https://doi.org/10.7916/D8ZG6SGM

► Solving *optimization* problems under uncertainty has been an important topic since the appearance of mathematical *optimization* in the mid 19th century. George Dantzig’s 1955 paper,…
(more)

Subjects/Keywords: Mathematical optimization; Uncertainty (Information theory); Robust optimization; Approximation algorithms; Operations research

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Lu, B. Y. (2016). Essays on Approximation Algorithms for Robust Linear Optimization Problems. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8ZG6SGM

Chicago Manual of Style (16^{th} Edition):

Lu, Brian Yin. “Essays on Approximation Algorithms for Robust Linear Optimization Problems.” 2016. Doctoral Dissertation, Columbia University. Accessed May 11, 2021. https://doi.org/10.7916/D8ZG6SGM.

MLA Handbook (7^{th} Edition):

Lu, Brian Yin. “Essays on Approximation Algorithms for Robust Linear Optimization Problems.” 2016. Web. 11 May 2021.

Vancouver:

Lu BY. Essays on Approximation Algorithms for Robust Linear Optimization Problems. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2021 May 11]. Available from: https://doi.org/10.7916/D8ZG6SGM.

Council of Science Editors:

Lu BY. Essays on Approximation Algorithms for Robust Linear Optimization Problems. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8ZG6SGM

University of Illinois – Urbana-Champaign

25.
Anderson, Jesse Cole.
* Robust* design

Degree: MS, Mechanical Engineering, 2019, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/104728

► This thesis develops a framework for performing *robust* design *optimization* of objective functions constrained by differential, algebraic, and integral constraints. A successive parameter continuation method…
(more)

Subjects/Keywords: continuation; optimization; robust optimization; polynomial chaos expansion; Duffing oscillator

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Anderson, J. C. (2019). Robust design optimization with dynamic constraints using numerical continuation. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104728

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Anderson, Jesse Cole. “Robust design optimization with dynamic constraints using numerical continuation.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed May 11, 2021. http://hdl.handle.net/2142/104728.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Anderson, Jesse Cole. “Robust design optimization with dynamic constraints using numerical continuation.” 2019. Web. 11 May 2021.

Vancouver:

Anderson JC. Robust design optimization with dynamic constraints using numerical continuation. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2021 May 11]. Available from: http://hdl.handle.net/2142/104728.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anderson JC. Robust design optimization with dynamic constraints using numerical continuation. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104728

Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

26.
Asafuddoula, Md.
Development of algorithms to solve different key challenges facing design * optimization*.

Degree: Engineering & Information Technology, 2014, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/53458 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12153/SOURCE02?view=true

► *Optimization* methods play an indispensable role in today’s competitive environmentand there are plenty of practical examples where such methods have been used toidentify better performing…
(more)

Subjects/Keywords: Robust design optimization; Constraint handling; Many objective optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Asafuddoula, M. (2014). Development of algorithms to solve different key challenges facing design optimization. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53458 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12153/SOURCE02?view=true

Chicago Manual of Style (16^{th} Edition):

Asafuddoula, Md. “Development of algorithms to solve different key challenges facing design optimization.” 2014. Doctoral Dissertation, University of New South Wales. Accessed May 11, 2021. http://handle.unsw.edu.au/1959.4/53458 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12153/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Asafuddoula, Md. “Development of algorithms to solve different key challenges facing design optimization.” 2014. Web. 11 May 2021.

Vancouver:

Asafuddoula M. Development of algorithms to solve different key challenges facing design optimization. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2021 May 11]. Available from: http://handle.unsw.edu.au/1959.4/53458 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12153/SOURCE02?view=true.

Council of Science Editors:

Asafuddoula M. Development of algorithms to solve different key challenges facing design optimization. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53458 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12153/SOURCE02?view=true

Princeton University

27.
Matthews, Logan Ryan.
Advancing *Robust* *Optimization* for Process Systems Engineering Applications
.

Degree: PhD, 2018, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp01hh63sz60j

► *Robust* *optimization* is a popular method for incorporating parameter uncertainty into *optimization* models. Whether parameters represent the price of a feedstock or product, the operability…
(more)

Subjects/Keywords: Global Optimization; Optimization Under Uncertainty; Process Synthesis; Resilient Network Design; Robust Optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Matthews, L. R. (2018). Advancing Robust Optimization for Process Systems Engineering Applications . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01hh63sz60j

Chicago Manual of Style (16^{th} Edition):

Matthews, Logan Ryan. “Advancing Robust Optimization for Process Systems Engineering Applications .” 2018. Doctoral Dissertation, Princeton University. Accessed May 11, 2021. http://arks.princeton.edu/ark:/88435/dsp01hh63sz60j.

MLA Handbook (7^{th} Edition):

Matthews, Logan Ryan. “Advancing Robust Optimization for Process Systems Engineering Applications .” 2018. Web. 11 May 2021.

Vancouver:

Matthews LR. Advancing Robust Optimization for Process Systems Engineering Applications . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2021 May 11]. Available from: http://arks.princeton.edu/ark:/88435/dsp01hh63sz60j.

Council of Science Editors:

Matthews LR. Advancing Robust Optimization for Process Systems Engineering Applications . [Doctoral Dissertation]. Princeton University; 2018. Available from: http://arks.princeton.edu/ark:/88435/dsp01hh63sz60j

Loughborough University

28.
Rossetti, Gaia.
Mathematical *optimization* techniques for cognitive radar networks.

Degree: Mechanical, Electrical and Manufacturing Engineering, 2018, Loughborough University

URL: http://hdl.handle.net/2134/33419

► This thesis discusses mathematical *optimization* techniques for waveform design in cognitive radars. These techniques have been designed with an increasing level of sophistication, starting from…
(more)

Subjects/Keywords: Mechanical Engineering not elsewhere classified; Waveform optimization; Convex optimization; Robust optimization; Cognitive radars

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Rossetti, G. (2018). Mathematical optimization techniques for cognitive radar networks. (Thesis). Loughborough University. Retrieved from http://hdl.handle.net/2134/33419

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Rossetti, Gaia. “Mathematical optimization techniques for cognitive radar networks.” 2018. Thesis, Loughborough University. Accessed May 11, 2021. http://hdl.handle.net/2134/33419.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rossetti, Gaia. “Mathematical optimization techniques for cognitive radar networks.” 2018. Web. 11 May 2021.

Vancouver:

Rossetti G. Mathematical optimization techniques for cognitive radar networks. [Internet] [Thesis]. Loughborough University; 2018. [cited 2021 May 11]. Available from: http://hdl.handle.net/2134/33419.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rossetti G. Mathematical optimization techniques for cognitive radar networks. [Thesis]. Loughborough University; 2018. Available from: http://hdl.handle.net/2134/33419

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

29.
Bekiroglu, Korkut.
From Data to Interventions: Using System Identification and *Robust* Control Algorithms to Design Effective Treatments.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/26227

► Behavioral and social scientists have demonstrated the advantages of the adaptive treatments, which usually provide better results than the fixed treatment (all patients get same…
(more)

Subjects/Keywords: Adaptive Intervention; Robust Treatment Design; System Identification; Atomic Norm; min-max Structured Robust Optimization

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bekiroglu, K. (2015). From Data to Interventions: Using System Identification and Robust Control Algorithms to Design Effective Treatments. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26227

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Bekiroglu, Korkut. “From Data to Interventions: Using System Identification and Robust Control Algorithms to Design Effective Treatments.” 2015. Thesis, Penn State University. Accessed May 11, 2021. https://submit-etda.libraries.psu.edu/catalog/26227.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bekiroglu, Korkut. “From Data to Interventions: Using System Identification and Robust Control Algorithms to Design Effective Treatments.” 2015. Web. 11 May 2021.

Vancouver:

Bekiroglu K. From Data to Interventions: Using System Identification and Robust Control Algorithms to Design Effective Treatments. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 May 11]. Available from: https://submit-etda.libraries.psu.edu/catalog/26227.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bekiroglu K. From Data to Interventions: Using System Identification and Robust Control Algorithms to Design Effective Treatments. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26227

Not specified: Masters Thesis or Doctoral Dissertation

University of Manchester

30.
Diaz Leiva, Juan Esteban.
Simulation-Based *Optimization* for Production Planning:
Integrating Meta-Heuristics, Simulation and Exact Techniques to
Address the Uncertainty and Complexity of Manufacturing
Systems.

Degree: 2016, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199

►

This doctoral thesis investigates the application of simulation-based *optimization* (SBO) as an alternative to conventional *optimization* techniques when the inherent uncertainty and complex features of…
(more)

Subjects/Keywords: Combinatorial optimization; Genetic algorithms; Matheuristics; Meta-heuristics; Multi-objective optimization; Production planning; Robust optimization; Simulation-based optimization; Uncertainty modelling

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Diaz Leiva, J. E. (2016). Simulation-Based Optimization for Production Planning: Integrating Meta-Heuristics, Simulation and Exact Techniques to Address the Uncertainty and Complexity of Manufacturing Systems. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199

Chicago Manual of Style (16^{th} Edition):

Diaz Leiva, Juan Esteban. “Simulation-Based Optimization for Production Planning: Integrating Meta-Heuristics, Simulation and Exact Techniques to Address the Uncertainty and Complexity of Manufacturing Systems.” 2016. Doctoral Dissertation, University of Manchester. Accessed May 11, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199.

MLA Handbook (7^{th} Edition):

Diaz Leiva, Juan Esteban. “Simulation-Based Optimization for Production Planning: Integrating Meta-Heuristics, Simulation and Exact Techniques to Address the Uncertainty and Complexity of Manufacturing Systems.” 2016. Web. 11 May 2021.

Vancouver:

Diaz Leiva JE. Simulation-Based Optimization for Production Planning: Integrating Meta-Heuristics, Simulation and Exact Techniques to Address the Uncertainty and Complexity of Manufacturing Systems. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2021 May 11]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199.

Council of Science Editors:

Diaz Leiva JE. Simulation-Based Optimization for Production Planning: Integrating Meta-Heuristics, Simulation and Exact Techniques to Address the Uncertainty and Complexity of Manufacturing Systems. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199