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University of Oxford

1.
Desmaison, Alban.
* Optimization* for, and by, machine learning.

Degree: PhD, 2019, University of Oxford

URL: http://ora.ox.ac.uk/objects/uuid:7b9b387a-fcce-425c-8186-5d161789a52a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.813610

► *Optimization* and machine learning are both extremely active research topics. In this thesis, we explore problems at the intersection of the two fields. In particular,…
(more)

Subjects/Keywords: Machine learning; Constrained optimization

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

APA (6^{th} Edition):

Desmaison, A. (2019). Optimization for, and by, machine learning. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:7b9b387a-fcce-425c-8186-5d161789a52a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.813610

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

Desmaison, Alban. “Optimization for, and by, machine learning.” 2019. Doctoral Dissertation, University of Oxford. Accessed March 09, 2021. http://ora.ox.ac.uk/objects/uuid:7b9b387a-fcce-425c-8186-5d161789a52a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.813610.

MLA Handbook (7^{th} Edition):

Desmaison, Alban. “Optimization for, and by, machine learning.” 2019. Web. 09 Mar 2021.

Vancouver:

Desmaison A. Optimization for, and by, machine learning. [Internet] [Doctoral dissertation]. University of Oxford; 2019. [cited 2021 Mar 09]. Available from: http://ora.ox.ac.uk/objects/uuid:7b9b387a-fcce-425c-8186-5d161789a52a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.813610.

Council of Science Editors:

Desmaison A. Optimization for, and by, machine learning. [Doctoral Dissertation]. University of Oxford; 2019. Available from: http://ora.ox.ac.uk/objects/uuid:7b9b387a-fcce-425c-8186-5d161789a52a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.813610

University of Adelaide

2.
Bonyadi, Mohammadreza.
Particle swarm *optimization*: theoretical analysis, modifications, and applications to *constrained* *optimization* problems.

Degree: 2015, University of Adelaide

URL: http://hdl.handle.net/2440/92599

► This is a PhD thesis by publication. It includes five journal papers, three of them already published, and two submitted for publication in a very…
(more)

Subjects/Keywords: optimization; convergence; transformation invariance; constrained optimization

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APA (6^{th} Edition):

Bonyadi, M. (2015). Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/92599

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):

Bonyadi, Mohammadreza. “Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems.” 2015. Thesis, University of Adelaide. Accessed March 09, 2021. http://hdl.handle.net/2440/92599.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bonyadi, Mohammadreza. “Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems.” 2015. Web. 09 Mar 2021.

Vancouver:

Bonyadi M. Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems. [Internet] [Thesis]. University of Adelaide; 2015. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/2440/92599.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bonyadi M. Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems. [Thesis]. University of Adelaide; 2015. Available from: http://hdl.handle.net/2440/92599

Not specified: Masters Thesis or Doctoral Dissertation

Rice University

3.
Geldermans, Peter.
Accelerated PDE *Constrained* *Optimization* using Direct Solvers.

Degree: MA, Engineering, 2018, Rice University

URL: http://hdl.handle.net/1911/105485

► In this thesis, I propose a method to reduce the cost of computing solutions to *optimization* problems governed by partial differential equations (PDEs). Standard second…
(more)

Subjects/Keywords: PDE constrained optimization; direct solvers; fast solvers

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APA (6^{th} Edition):

Geldermans, P. (2018). Accelerated PDE Constrained Optimization using Direct Solvers. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/105485

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

Geldermans, Peter. “Accelerated PDE Constrained Optimization using Direct Solvers.” 2018. Masters Thesis, Rice University. Accessed March 09, 2021. http://hdl.handle.net/1911/105485.

MLA Handbook (7^{th} Edition):

Geldermans, Peter. “Accelerated PDE Constrained Optimization using Direct Solvers.” 2018. Web. 09 Mar 2021.

Vancouver:

Geldermans P. Accelerated PDE Constrained Optimization using Direct Solvers. [Internet] [Masters thesis]. Rice University; 2018. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1911/105485.

Council of Science Editors:

Geldermans P. Accelerated PDE Constrained Optimization using Direct Solvers. [Masters Thesis]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105485

University of Illinois – Urbana-Champaign

4.
Salazar De Troya, Miguel Angel A.
Adaptive mesh refinement in topology * optimization*.

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

URL: http://hdl.handle.net/2142/104776

► This dissertation presents developments in stress *constrained* topology *optimization* with Adaptive Mesh Refinement (AMR). Regions with stress concentrations dominate the optimized design. As such, we…
(more)

Subjects/Keywords: topology; optimization; adaptive; mesh; refinement; stress; constrained

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APA (6^{th} Edition):

Salazar De Troya, M. A. A. (2019). Adaptive mesh refinement in topology optimization. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104776

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

Salazar De Troya, Miguel Angel A. “Adaptive mesh refinement in topology optimization.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 09, 2021. http://hdl.handle.net/2142/104776.

MLA Handbook (7^{th} Edition):

Salazar De Troya, Miguel Angel A. “Adaptive mesh refinement in topology optimization.” 2019. Web. 09 Mar 2021.

Vancouver:

Salazar De Troya MAA. Adaptive mesh refinement in topology optimization. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/2142/104776.

Council of Science Editors:

Salazar De Troya MAA. Adaptive mesh refinement in topology optimization. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104776

Oklahoma State University

5.
Govindarajan, Anand.
* Optimization* of Processes for Sustainability.

Degree: School of Chemical Engineering, 2011, Oklahoma State University

URL: http://hdl.handle.net/11244/9634

► This research is focused on developing a methodology to optimize processes for sustainability. To design a sustainable process that addresses economic, environmental and social concerns…
(more)

Subjects/Keywords: chemical processes; constrained; multiobjective; optimization; sustainability; weighted

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APA (6^{th} Edition):

Govindarajan, A. (2011). Optimization of Processes for Sustainability. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/9634

Not specified: Masters Thesis or Doctoral Dissertation

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

Govindarajan, Anand. “Optimization of Processes for Sustainability.” 2011. Thesis, Oklahoma State University. Accessed March 09, 2021. http://hdl.handle.net/11244/9634.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Govindarajan, Anand. “Optimization of Processes for Sustainability.” 2011. Web. 09 Mar 2021.

Vancouver:

Govindarajan A. Optimization of Processes for Sustainability. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/9634.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Govindarajan A. Optimization of Processes for Sustainability. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/9634

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

6. Kang, Bosung. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/26539

► Estimating the disturbance or clutter covariance is a centrally important problem in radar space time adaptive processing (STAP) since estimation of the disturbance or interference…
(more)

Subjects/Keywords: convex optimization; STAP; radar signal processing; constrained optimization; detection and estimation

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APA (6^{th} Edition):

Kang, B. (2015). Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26539

Not specified: Masters Thesis or Doctoral Dissertation

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

Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Thesis, Penn State University. Accessed March 09, 2021. https://submit-etda.libraries.psu.edu/catalog/26539.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Web. 09 Mar 2021.

Vancouver:

Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Mar 09]. Available from: https://submit-etda.libraries.psu.edu/catalog/26539.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26539

Not specified: Masters Thesis or Doctoral Dissertation

Rice University

7.
Markowski, Mae.
Newton-Based Methods for Smoothed Risk-Averse PDE-*Constrained* *Optimization* Problems.

Degree: MA, Engineering, 2019, Rice University

URL: http://hdl.handle.net/1911/107436

► This thesis introduces a modification for traditional, Newton-based methods to improve the efficiency of solving smoothed, risk-averse PDE-*constrained* *optimization* problems arising from optimal control applications.…
(more)

Subjects/Keywords: Optimization under uncertainty; Conditional Value-at-Risk; PDE-Constrained Optimization

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

APA (6^{th} Edition):

Markowski, M. (2019). Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/107436

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

Markowski, Mae. “Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems.” 2019. Masters Thesis, Rice University. Accessed March 09, 2021. http://hdl.handle.net/1911/107436.

MLA Handbook (7^{th} Edition):

Markowski, Mae. “Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems.” 2019. Web. 09 Mar 2021.

Vancouver:

Markowski M. Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems. [Internet] [Masters thesis]. Rice University; 2019. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1911/107436.

Council of Science Editors:

Markowski M. Newton-Based Methods for Smoothed Risk-Averse PDE-Constrained Optimization Problems. [Masters Thesis]. Rice University; 2019. Available from: http://hdl.handle.net/1911/107436

Georgia Tech

8.
Torrico Palacios, Alfredo Ignacio.
Resource allocation and subset selection: new approaches at the interface between discrete and continuous * optimization*.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

URL: http://hdl.handle.net/1853/61720

► Resource allocation and subset selection are two relevant classes of problems in the core of combinatorial *optimization*. Over the past decade, there has been an…
(more)

Subjects/Keywords: Combinatorial optimization; Online optimization; Online bipartite matching; Constrained submodular maximization

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APA (6^{th} Edition):

Torrico Palacios, A. I. (2019). Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61720

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

Torrico Palacios, Alfredo Ignacio. “Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 09, 2021. http://hdl.handle.net/1853/61720.

MLA Handbook (7^{th} Edition):

Torrico Palacios, Alfredo Ignacio. “Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization.” 2019. Web. 09 Mar 2021.

Vancouver:

Torrico Palacios AI. Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1853/61720.

Council of Science Editors:

Torrico Palacios AI. Resource allocation and subset selection: new approaches at the interface between discrete and continuous optimization. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61720

University of Washington

9.
Dueri, Daniel Alejandro.
Real-time *Optimization* in Aerospace Systems.

Degree: PhD, 2019, University of Washington

URL: http://hdl.handle.net/1773/43279

► Algorithm design for autonomous vehicles has been attracting immense research interest, and with the proliferation of self-driving cars, autonomous drone delivery systems, and the increasing…
(more)

Subjects/Keywords: constrained optimization; convex optimization; optimal control theory; real-time optimization; Aerospace engineering; Aeronautics and astronautics

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APA (6^{th} Edition):

Dueri, D. A. (2019). Real-time Optimization in Aerospace Systems. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43279

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

Dueri, Daniel Alejandro. “Real-time Optimization in Aerospace Systems.” 2019. Doctoral Dissertation, University of Washington. Accessed March 09, 2021. http://hdl.handle.net/1773/43279.

MLA Handbook (7^{th} Edition):

Dueri, Daniel Alejandro. “Real-time Optimization in Aerospace Systems.” 2019. Web. 09 Mar 2021.

Vancouver:

Dueri DA. Real-time Optimization in Aerospace Systems. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1773/43279.

Council of Science Editors:

Dueri DA. Real-time Optimization in Aerospace Systems. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43279

University of Arizona

10.
Chernikov, Dmitry.
PDE *Constrained* *Optimization* in Stochastic and Deterministic Problems of Multiphysics and Finance
.

Degree: 2017, University of Arizona

URL: http://hdl.handle.net/10150/626368

► In this dissertation we investigate methods of solving various *optimization* problems with PDE constraints, i.e. *optimization* problems that have a system of partial differential equations…
(more)

Subjects/Keywords: adjoint differentiation; automatic differentiation; multiphysics; nonlinear optimization; optimization of portfolio of options; PDE-constrained optimization

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

APA (6^{th} Edition):

Chernikov, D. (2017). PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/626368

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

Chernikov, Dmitry. “PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .” 2017. Doctoral Dissertation, University of Arizona. Accessed March 09, 2021. http://hdl.handle.net/10150/626368.

MLA Handbook (7^{th} Edition):

Chernikov, Dmitry. “PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .” 2017. Web. 09 Mar 2021.

Vancouver:

Chernikov D. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10150/626368.

Council of Science Editors:

Chernikov D. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/626368

University of Texas – Austin

11. Nasir, Yusuf, M.S. in Engineering. Derivative-free techniques for optimal development of conventional and unconventional reservoirs.

Degree: MSin Engineering, Petroleum Engineering, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/69254

► The cyclic nature of oil price and the incentive from an optimal field development strategy has made the need for the development and management of…
(more)

Subjects/Keywords: Derivative-free optimization; Constrained optimization; Differential evolution; Reservoir simulation; Well placement; Production optimization

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APA (6^{th} Edition):

Nasir, Yusuf, M. S. i. E. (2018). Derivative-free techniques for optimal development of conventional and unconventional reservoirs. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/69254

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

Nasir, Yusuf, M S in Engineering. “Derivative-free techniques for optimal development of conventional and unconventional reservoirs.” 2018. Masters Thesis, University of Texas – Austin. Accessed March 09, 2021. http://hdl.handle.net/2152/69254.

MLA Handbook (7^{th} Edition):

Nasir, Yusuf, M S in Engineering. “Derivative-free techniques for optimal development of conventional and unconventional reservoirs.” 2018. Web. 09 Mar 2021.

Vancouver:

Nasir, Yusuf MSiE. Derivative-free techniques for optimal development of conventional and unconventional reservoirs. [Internet] [Masters thesis]. University of Texas – Austin; 2018. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/2152/69254.

Council of Science Editors:

Nasir, Yusuf MSiE. Derivative-free techniques for optimal development of conventional and unconventional reservoirs. [Masters Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/69254

Georgia Tech

12.
Boob, Digvijay Pravin.
Convex and structured nonconvex *optimization* for modern machine learning: Complexity and algorithms.

Degree: PhD, Industrial and Systems Engineering, 2020, Georgia Tech

URL: http://hdl.handle.net/1853/63673

► In this thesis, we investigate various *optimization* problems motivated by applications in modern-day machine learning. In the first part, we look at the computational complexity…
(more)

Subjects/Keywords: Computational complexity; NP-hardness; Function constrained optimization; Convex composite optimization; Nonconvex composite optimization; Stochastic optimization; Sparse-constrained nonconvex optimization; Packing and covering LPs

Record Details Similar Records

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

APA (6^{th} Edition):

Boob, D. P. (2020). Convex and structured nonconvex optimization for modern machine learning: Complexity and algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63673

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

Boob, Digvijay Pravin. “Convex and structured nonconvex optimization for modern machine learning: Complexity and algorithms.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 09, 2021. http://hdl.handle.net/1853/63673.

MLA Handbook (7^{th} Edition):

Boob, Digvijay Pravin. “Convex and structured nonconvex optimization for modern machine learning: Complexity and algorithms.” 2020. Web. 09 Mar 2021.

Vancouver:

Boob DP. Convex and structured nonconvex optimization for modern machine learning: Complexity and algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1853/63673.

Council of Science Editors:

Boob DP. Convex and structured nonconvex optimization for modern machine learning: Complexity and algorithms. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63673

13.
Vanitha M.
Investigations on non convex economic load dispatch
problem and solution through *constrained* *optimization*
techniques;.

Degree: non convex economic load dispatch problem and solution through constrained optimization techniques, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/16071

►

In the modern scenario, the electric power generation is very newlineessential and is a major criterion for all power related applications. There are newlinevarious resources… (more)

Subjects/Keywords: Constrained optimization techniques; Economic Load Dispatch; Electrical engineering

Record Details Similar Records

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APA (6^{th} Edition):

M, V. (2014). Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/16071

Not specified: Masters Thesis or Doctoral Dissertation

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

M, Vanitha. “Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;.” 2014. Thesis, Anna University. Accessed March 09, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/16071.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

M, Vanitha. “Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;.” 2014. Web. 09 Mar 2021.

Vancouver:

M V. Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 09]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16071.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

M V. Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16071

Not specified: Masters Thesis or Doctoral Dissertation

14. Narmathabanu R. Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;.

Degree: Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/30145

►

The ability of a power system to withstand the occurrence of newlinecontingencies like outage of transmission line or generator without any newlineuntoward incident is called… (more)

Subjects/Keywords: Genetic Algorithm; Security Constrained Optimal Power Flow; Several optimization techniques

Record Details Similar Records

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APA (6^{th} Edition):

R, N. (2014). Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/30145

Not specified: Masters Thesis or Doctoral Dissertation

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

R, Narmathabanu. “Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;.” 2014. Thesis, Anna University. Accessed March 09, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/30145.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

R, Narmathabanu. “Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;.” 2014. Web. 09 Mar 2021.

Vancouver:

R N. Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 09]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30145.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

R N. Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30145

Not specified: Masters Thesis or Doctoral Dissertation

Queens University

15.
Peter, Samuel.
* Constrained* extremum-seeking control in discrete-time with application to liquefier unit power minimization
.

Degree: Chemical Engineering, 2016, Queens University

URL: http://hdl.handle.net/1974/14287

► Given the increasing complexity of engineering systems, difficulties are often met in developing models that describe these systems accurately. If the model is used for…
(more)

Subjects/Keywords: Liquefier Optimization ; Constrained ESC ; time-varying ESC ; ESC

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APA (6^{th} Edition):

Peter, S. (2016). Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/14287

Not specified: Masters Thesis or Doctoral Dissertation

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

Peter, Samuel. “Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization .” 2016. Thesis, Queens University. Accessed March 09, 2021. http://hdl.handle.net/1974/14287.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Peter, Samuel. “Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization .” 2016. Web. 09 Mar 2021.

Vancouver:

Peter S. Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization . [Internet] [Thesis]. Queens University; 2016. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1974/14287.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Peter S. Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/14287

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

16. Geng, Xinbo. Power System Operations with Probabilistic Guarantees.

Degree: PhD, Electrical Engineering, 2019, Texas A&M University

URL: http://hdl.handle.net/1969.1/188735

► This study is motivated by the fact that uncertainties from deepening penetration of renewable energy resources have posed critical challenges to the secure and reliable…
(more)

Subjects/Keywords: Chance-constrained optimization; power system operation; unit commitment; economic dispatch.

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

APA (6^{th} Edition):

Geng, X. (2019). Power System Operations with Probabilistic Guarantees. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188735

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

Geng, Xinbo. “Power System Operations with Probabilistic Guarantees.” 2019. Doctoral Dissertation, Texas A&M University. Accessed March 09, 2021. http://hdl.handle.net/1969.1/188735.

MLA Handbook (7^{th} Edition):

Geng, Xinbo. “Power System Operations with Probabilistic Guarantees.” 2019. Web. 09 Mar 2021.

Vancouver:

Geng X. Power System Operations with Probabilistic Guarantees. [Internet] [Doctoral dissertation]. Texas A&M University; 2019. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1969.1/188735.

Council of Science Editors:

Geng X. Power System Operations with Probabilistic Guarantees. [Doctoral Dissertation]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/188735

University of Southern California

17. Wang, Yi. Towards energy efficient mobile sensing.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7537

► Mobile device based urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location…
(more)

Subjects/Keywords: constrained stochastic optimization; energy efficiency; mobile sensing; state estimation

Record Details Similar Records

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APA (6^{th} Edition):

Wang, Y. (2011). Towards energy efficient mobile sensing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7537

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

Wang, Yi. “Towards energy efficient mobile sensing.” 2011. Doctoral Dissertation, University of Southern California. Accessed March 09, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7537.

MLA Handbook (7^{th} Edition):

Wang, Yi. “Towards energy efficient mobile sensing.” 2011. Web. 09 Mar 2021.

Vancouver:

Wang Y. Towards energy efficient mobile sensing. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Mar 09]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7537.

Council of Science Editors:

Wang Y. Towards energy efficient mobile sensing. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7537

Curtin University of Technology

18.
Yu, Changjun.
A study of *optimization* and optimal control computation : exact penalty function approach
.

Degree: 2012, Curtin University of Technology

URL: http://hdl.handle.net/20.500.11937/2387

► In this thesis, We propose new computational algorithms and methods for solving four classes of *constrained* *optimization* and optimal control problems. In Chapter 1, we…
(more)

Subjects/Keywords: new computational algorithms; constrained optimization and optimal control; constraint violation

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APA (6^{th} Edition):

Yu, C. (2012). A study of optimization and optimal control computation : exact penalty function approach . (Thesis). Curtin University of Technology. Retrieved from http://hdl.handle.net/20.500.11937/2387

Not specified: Masters Thesis or Doctoral Dissertation

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

Yu, Changjun. “A study of optimization and optimal control computation : exact penalty function approach .” 2012. Thesis, Curtin University of Technology. Accessed March 09, 2021. http://hdl.handle.net/20.500.11937/2387.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yu, Changjun. “A study of optimization and optimal control computation : exact penalty function approach .” 2012. Web. 09 Mar 2021.

Vancouver:

Yu C. A study of optimization and optimal control computation : exact penalty function approach . [Internet] [Thesis]. Curtin University of Technology; 2012. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/20.500.11937/2387.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu C. A study of optimization and optimal control computation : exact penalty function approach . [Thesis]. Curtin University of Technology; 2012. Available from: http://hdl.handle.net/20.500.11937/2387

Not specified: Masters Thesis or Doctoral Dissertation

Louisiana State University

19. Ciftci, Okan. Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method.

Degree: MSEE, Power and Energy, 2017, Louisiana State University

URL: https://digitalcommons.lsu.edu/gradschool_theses/4351

► Microgrid energy management is a challenging and important problem in modern power systems. Several deterministic and stochastic models have been proposed in the literature…
(more)

Subjects/Keywords: microgrid; energy management; energy storage; flexibility; data-driven; chance-constrained optimization

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APA (6^{th} Edition):

Ciftci, O. (2017). Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method. (Masters Thesis). Louisiana State University. Retrieved from https://digitalcommons.lsu.edu/gradschool_theses/4351

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

Ciftci, Okan. “Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method.” 2017. Masters Thesis, Louisiana State University. Accessed March 09, 2021. https://digitalcommons.lsu.edu/gradschool_theses/4351.

MLA Handbook (7^{th} Edition):

Ciftci, Okan. “Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method.” 2017. Web. 09 Mar 2021.

Vancouver:

Ciftci O. Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method. [Internet] [Masters thesis]. Louisiana State University; 2017. [cited 2021 Mar 09]. Available from: https://digitalcommons.lsu.edu/gradschool_theses/4351.

Council of Science Editors:

Ciftci O. Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method. [Masters Thesis]. Louisiana State University; 2017. Available from: https://digitalcommons.lsu.edu/gradschool_theses/4351

California State University – Sacramento

20.
Helmand, Azizullah.
Security *constrained* economic dispatch using shift factors.

Degree: MS, Electrical and Electronic Engineering, 2020, California State University – Sacramento

URL: http://hdl.handle.net/10211.3/216495

► This report will investigate a simplified rendition of market bid determination against a network topology. This project uses a variation of linear programming to minimize…
(more)

Subjects/Keywords: Power flow analysis; Grid operations; Optimization techniques; Security constrained unit commitment

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APA (6^{th} Edition):

Helmand, A. (2020). Security constrained economic dispatch using shift factors. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/216495

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

Helmand, Azizullah. “Security constrained economic dispatch using shift factors.” 2020. Masters Thesis, California State University – Sacramento. Accessed March 09, 2021. http://hdl.handle.net/10211.3/216495.

MLA Handbook (7^{th} Edition):

Helmand, Azizullah. “Security constrained economic dispatch using shift factors.” 2020. Web. 09 Mar 2021.

Vancouver:

Helmand A. Security constrained economic dispatch using shift factors. [Internet] [Masters thesis]. California State University – Sacramento; 2020. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10211.3/216495.

Council of Science Editors:

Helmand A. Security constrained economic dispatch using shift factors. [Masters Thesis]. California State University – Sacramento; 2020. Available from: http://hdl.handle.net/10211.3/216495

Georgia Tech

21.
Zhou, Zhiqiang.
Theory and applications of first-order methods for convex *optimization* with function constraints.

Degree: PhD, Industrial and Systems Engineering, 2020, Georgia Tech

URL: http://hdl.handle.net/1853/63664

► This dissertation focuses on the development of efficient first-order methods for function *constrained* convex *optimization* and their applications in a few different areas, including healthcare,…
(more)

Subjects/Keywords: First-order methods; Function constrained optimization; Machine learning

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

APA (6^{th} Edition):

Zhou, Z. (2020). Theory and applications of first-order methods for convex optimization with function constraints. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63664

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

Zhou, Zhiqiang. “Theory and applications of first-order methods for convex optimization with function constraints.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 09, 2021. http://hdl.handle.net/1853/63664.

MLA Handbook (7^{th} Edition):

Zhou, Zhiqiang. “Theory and applications of first-order methods for convex optimization with function constraints.” 2020. Web. 09 Mar 2021.

Vancouver:

Zhou Z. Theory and applications of first-order methods for convex optimization with function constraints. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1853/63664.

Council of Science Editors:

Zhou Z. Theory and applications of first-order methods for convex optimization with function constraints. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63664

University of New South Wales

22.
Hamza, Noha.
Search Techniques for Evolutionary *Constrained* * Optimization*.

Degree: Engineering & Information Technology, 2016, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true

► Solving *Constrained* *Optimization* Problems (COPs) has been an important research topic in the *optimization*, operation research, and computer science domains. Over the last few decades,…
(more)

Subjects/Keywords: differential evolution; Evolutionary algorithms; constrained optimization; constraint consensus; constraint-handling

Record Details Similar Records

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

APA (6^{th} Edition):

Hamza, N. (2016). Search Techniques for Evolutionary Constrained Optimization. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true

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

Hamza, Noha. “Search Techniques for Evolutionary Constrained Optimization.” 2016. Doctoral Dissertation, University of New South Wales. Accessed March 09, 2021. http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Hamza, Noha. “Search Techniques for Evolutionary Constrained Optimization.” 2016. Web. 09 Mar 2021.

Vancouver:

Hamza N. Search Techniques for Evolutionary Constrained Optimization. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Mar 09]. Available from: http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true.

Council of Science Editors:

Hamza N. Search Techniques for Evolutionary Constrained Optimization. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true

University of New South Wales

23. Sallam, Karam. A Study of Function Landscape and Search Space with Evolutionary Algorithms.

Degree: Engineering & Information Technology, 2018, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true

► *Optimization* techniques are used extensively to solve many real-world decision making problems which have different characteristics and mathematical properties that make the process of ﬁnding…
(more)

Subjects/Keywords: diﬀerential evolution; Evolutionary algorithms; constrained optimization; landscape analysis; reduced search space

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APA (6^{th} Edition):

Sallam, K. (2018). A Study of Function Landscape and Search Space with Evolutionary Algorithms. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true

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

Sallam, Karam. “A Study of Function Landscape and Search Space with Evolutionary Algorithms.” 2018. Doctoral Dissertation, University of New South Wales. Accessed March 09, 2021. http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Sallam, Karam. “A Study of Function Landscape and Search Space with Evolutionary Algorithms.” 2018. Web. 09 Mar 2021.

Vancouver:

Sallam K. A Study of Function Landscape and Search Space with Evolutionary Algorithms. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Mar 09]. Available from: http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true.

Council of Science Editors:

Sallam K. A Study of Function Landscape and Search Space with Evolutionary Algorithms. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true

University of Texas – Austin

24. -6943-657X. Optimal spatiotemporal resource allocation in public health and renewable energy.

Degree: PhD, Operations Research & Industrial Engineering, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/44589

► Optimizing the spatiotemporal allocation and distribution of a limited number of critical resources is a pervasive problem, concerning both government agencies and private companies. This…
(more)

Subjects/Keywords: Stochastic optimization; Chance-constrained programming; Pumped-hydroelectric system; Public health

Record Details Similar Records

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

APA (6^{th} Edition):

-6943-657X. (2016). Optimal spatiotemporal resource allocation in public health and renewable energy. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/44589

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

Author name may be incomplete

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

-6943-657X. “Optimal spatiotemporal resource allocation in public health and renewable energy.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed March 09, 2021. http://hdl.handle.net/2152/44589.

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

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-6943-657X. “Optimal spatiotemporal resource allocation in public health and renewable energy.” 2016. Web. 09 Mar 2021.

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

Author name may be incomplete

Vancouver:

-6943-657X. Optimal spatiotemporal resource allocation in public health and renewable energy. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/2152/44589.

Author name may be incomplete

Council of Science Editors:

-6943-657X. Optimal spatiotemporal resource allocation in public health and renewable energy. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/44589

Author name may be incomplete

Virginia Tech

25.
Hunter, Susan R.
Sampling Laws for Stochastically *Constrained* Simulation *Optimization* on Finite Sets.

Degree: PhD, Industrial and Systems Engineering, 2011, Virginia Tech

URL: http://hdl.handle.net/10919/39742

► Consider the context of selecting an optimal system from among a finite set of competing systems, based on a â stochasticâ objective function and *subject*…
(more)

Subjects/Keywords: optimal allocation; constrained simulation optimization; ranking and selection

Record Details Similar Records

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

APA (6^{th} Edition):

Hunter, S. R. (2011). Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/39742

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

Hunter, Susan R. “Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets.” 2011. Doctoral Dissertation, Virginia Tech. Accessed March 09, 2021. http://hdl.handle.net/10919/39742.

MLA Handbook (7^{th} Edition):

Hunter, Susan R. “Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets.” 2011. Web. 09 Mar 2021.

Vancouver:

Hunter SR. Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10919/39742.

Council of Science Editors:

Hunter SR. Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/39742

University of New South Wales

26. Hu, Wei. VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION.

Degree: Banking & Finance, 2011, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true

► As traditional contingent claims valuation methods do not apply to non-transferable and non-hedgeable contingent claims, recent proliferation of such claims creates the need for the…
(more)

Subjects/Keywords: Stochastic discount factor; ESO; Constrained portfolio optimization; Credit risk; Reload option

Record Details Similar Records

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

APA (6^{th} Edition):

Hu, W. (2011). VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true

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

Hu, Wei. “VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION.” 2011. Doctoral Dissertation, University of New South Wales. Accessed March 09, 2021. http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Hu, Wei. “VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION.” 2011. Web. 09 Mar 2021.

Vancouver:

Hu W. VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2021 Mar 09]. Available from: http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true.

Council of Science Editors:

Hu W. VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true

University of New South Wales

27.
Hamza, Noha.
Hybridizing constraint consensus methods with evolutionary algorithms for *constrained* * optimization*.

Degree: Engineering & Information Technology Canberra, 2012, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true

► Solving *Constrained* *Optimization* Problems (COPs) has been an important research topic in the *optimization*, operation research, and computer science domains. In COPs, an optimal solution…
(more)

Subjects/Keywords: Genetic Algorithms; Evolutionary Algorithms; Constrained Optimization; Differential Evolution

Record Details Similar Records

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

APA (6^{th} Edition):

Hamza, N. (2012). Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true

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

Hamza, Noha. “Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization.” 2012. Masters Thesis, University of New South Wales. Accessed March 09, 2021. http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true.

MLA Handbook (7^{th} Edition):

Hamza, Noha. “Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization.” 2012. Web. 09 Mar 2021.

Vancouver:

Hamza N. Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization. [Internet] [Masters thesis]. University of New South Wales; 2012. [cited 2021 Mar 09]. Available from: http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true.

Council of Science Editors:

Hamza N. Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization. [Masters Thesis]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true

University of Toronto

28.
Mahmood, Rafid.
Learning to Solve *Optimization* Problems with Hidden Components: Applications in Automated Treatment Planning.

Degree: PhD, 2020, University of Toronto

URL: http://hdl.handle.net/1807/103339

► Designing *optimization* models that capture decision-maker preferences typically requires guidance from domain experts. We can instead employ machine learning (ML) to design contextual *optimization* models…
(more)

Subjects/Keywords: constrained optimization; machine learning; medical decision-making; radiation therapy; 0796

Record Details Similar Records

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

APA (6^{th} Edition):

Mahmood, R. (2020). Learning to Solve Optimization Problems with Hidden Components: Applications in Automated Treatment Planning. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/103339

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

Mahmood, Rafid. “Learning to Solve Optimization Problems with Hidden Components: Applications in Automated Treatment Planning.” 2020. Doctoral Dissertation, University of Toronto. Accessed March 09, 2021. http://hdl.handle.net/1807/103339.

MLA Handbook (7^{th} Edition):

Mahmood, Rafid. “Learning to Solve Optimization Problems with Hidden Components: Applications in Automated Treatment Planning.” 2020. Web. 09 Mar 2021.

Vancouver:

Mahmood R. Learning to Solve Optimization Problems with Hidden Components: Applications in Automated Treatment Planning. [Internet] [Doctoral dissertation]. University of Toronto; 2020. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1807/103339.

Council of Science Editors:

Mahmood R. Learning to Solve Optimization Problems with Hidden Components: Applications in Automated Treatment Planning. [Doctoral Dissertation]. University of Toronto; 2020. Available from: http://hdl.handle.net/1807/103339

Duke University

29.
Sridhar, Aarthi.
Modeling and Probabilistic *Optimization* of Rolling Isolation System for Seismic Hazard Mitigation
.

Degree: 2019, Duke University

URL: http://hdl.handle.net/10161/19840

► A new model for Rolling Isolation Systems(RIS) is developed using Gauss's Principle of Least Constraint (GPLC). Gauss Principle of Least Constraint is a versatile…
(more)

Subjects/Keywords: Civil engineering; Constrained Dynamics; Earthquake Hazard Mitigation; Optimization; Rolling Isolation System

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

APA (6^{th} Edition):

Sridhar, A. (2019). Modeling and Probabilistic Optimization of Rolling Isolation System for Seismic Hazard Mitigation . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/19840

Not specified: Masters Thesis or Doctoral Dissertation

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

Sridhar, Aarthi. “Modeling and Probabilistic Optimization of Rolling Isolation System for Seismic Hazard Mitigation .” 2019. Thesis, Duke University. Accessed March 09, 2021. http://hdl.handle.net/10161/19840.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sridhar, Aarthi. “Modeling and Probabilistic Optimization of Rolling Isolation System for Seismic Hazard Mitigation .” 2019. Web. 09 Mar 2021.

Vancouver:

Sridhar A. Modeling and Probabilistic Optimization of Rolling Isolation System for Seismic Hazard Mitigation . [Internet] [Thesis]. Duke University; 2019. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10161/19840.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sridhar A. Modeling and Probabilistic Optimization of Rolling Isolation System for Seismic Hazard Mitigation . [Thesis]. Duke University; 2019. Available from: http://hdl.handle.net/10161/19840

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

30.
Mohammadzadeh Jasour, Ashkan.
Convex Approximation of Chance *Constrained* *Optimization* Problems: Application in System and Control.

Degree: 2017, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/13313aim5346

► This dissertation concentrates on chance *constrained* *optimization* problems and their application in systems and control area. In “chance optimization” problems, we aim at maximizing the…
(more)

Subjects/Keywords: Chance Constrained; Convex Optimization; Semidefinite Programming; Measure and Moments; Polynomials; Sum of Squares Optimization; Duality

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

APA (6^{th} Edition):

Mohammadzadeh Jasour, A. (2017). Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13313aim5346

Not specified: Masters Thesis or Doctoral Dissertation

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

Mohammadzadeh Jasour, Ashkan. “Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control.” 2017. Thesis, Penn State University. Accessed March 09, 2021. https://submit-etda.libraries.psu.edu/catalog/13313aim5346.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mohammadzadeh Jasour, Ashkan. “Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control.” 2017. Web. 09 Mar 2021.

Vancouver:

Mohammadzadeh Jasour A. Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Mar 09]. Available from: https://submit-etda.libraries.psu.edu/catalog/13313aim5346.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mohammadzadeh Jasour A. Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13313aim5346

Not specified: Masters Thesis or Doctoral Dissertation