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You searched for subject:(robust resource allocation). Showing records 1 – 17 of 17 total matches.

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University of Arkansas

1. Heydari, Mohammadhossein. Optimal Allocation of Resources in Reliability Growth.

Degree: PhD, 2018, University of Arkansas

  Reliability growth testing seeks to identify and remove failure modes in order to improve system reliability. This dissertation centers around the resource allocation across… (more)

Subjects/Keywords: Reliability Growth; Resource Allocation; Robust Optimization; Industrial Engineering; Operational Research

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APA (6th Edition):

Heydari, M. (2018). Optimal Allocation of Resources in Reliability Growth. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2688

Chicago Manual of Style (16th Edition):

Heydari, Mohammadhossein. “Optimal Allocation of Resources in Reliability Growth.” 2018. Doctoral Dissertation, University of Arkansas. Accessed May 09, 2021. https://scholarworks.uark.edu/etd/2688.

MLA Handbook (7th Edition):

Heydari, Mohammadhossein. “Optimal Allocation of Resources in Reliability Growth.” 2018. Web. 09 May 2021.

Vancouver:

Heydari M. Optimal Allocation of Resources in Reliability Growth. [Internet] [Doctoral dissertation]. University of Arkansas; 2018. [cited 2021 May 09]. Available from: https://scholarworks.uark.edu/etd/2688.

Council of Science Editors:

Heydari M. Optimal Allocation of Resources in Reliability Growth. [Doctoral Dissertation]. University of Arkansas; 2018. Available from: https://scholarworks.uark.edu/etd/2688


Utah State University

2. Ahmed, Shakil. Robust Resource Allocation to Secure Physical Layer Using UAV-Assisted Mobile Relay Communications in 5G Technology.

Degree: MS, Electrical and Computer Engineering, 2019, Utah State University

  The unmanned aerial vehicles (UAVs) are also known as drones. Recently, UAVs have attracted the next generation researchers due to their flexible, dynamic, and… (more)

Subjects/Keywords: UAV; robust resource allocation; security; secrecy rate; Electrical and Computer Engineering

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APA (6th Edition):

Ahmed, S. (2019). Robust Resource Allocation to Secure Physical Layer Using UAV-Assisted Mobile Relay Communications in 5G Technology. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7575

Chicago Manual of Style (16th Edition):

Ahmed, Shakil. “Robust Resource Allocation to Secure Physical Layer Using UAV-Assisted Mobile Relay Communications in 5G Technology.” 2019. Masters Thesis, Utah State University. Accessed May 09, 2021. https://digitalcommons.usu.edu/etd/7575.

MLA Handbook (7th Edition):

Ahmed, Shakil. “Robust Resource Allocation to Secure Physical Layer Using UAV-Assisted Mobile Relay Communications in 5G Technology.” 2019. Web. 09 May 2021.

Vancouver:

Ahmed S. Robust Resource Allocation to Secure Physical Layer Using UAV-Assisted Mobile Relay Communications in 5G Technology. [Internet] [Masters thesis]. Utah State University; 2019. [cited 2021 May 09]. Available from: https://digitalcommons.usu.edu/etd/7575.

Council of Science Editors:

Ahmed S. Robust Resource Allocation to Secure Physical Layer Using UAV-Assisted Mobile Relay Communications in 5G Technology. [Masters Thesis]. Utah State University; 2019. Available from: https://digitalcommons.usu.edu/etd/7575


University of Minnesota

3. Yahyasoltani, Nasin. Dynamic learning and resource management under uncertainties for smart grid and cognitive radio networks.

Degree: PhD, Electrical/Computer Engineering, 2014, University of Minnesota

 The importance of timely applications and decisions in dynamic environments, has led to the integration of intelligent networks to increase efficiency and end-user satisfaction in… (more)

Subjects/Keywords: Cognitive radio; Graphical models; Online convex optimization; Resource allocation; Robust and chance constrained; Smart grid

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APA (6th Edition):

Yahyasoltani, N. (2014). Dynamic learning and resource management under uncertainties for smart grid and cognitive radio networks. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165121

Chicago Manual of Style (16th Edition):

Yahyasoltani, Nasin. “Dynamic learning and resource management under uncertainties for smart grid and cognitive radio networks.” 2014. Doctoral Dissertation, University of Minnesota. Accessed May 09, 2021. http://hdl.handle.net/11299/165121.

MLA Handbook (7th Edition):

Yahyasoltani, Nasin. “Dynamic learning and resource management under uncertainties for smart grid and cognitive radio networks.” 2014. Web. 09 May 2021.

Vancouver:

Yahyasoltani N. Dynamic learning and resource management under uncertainties for smart grid and cognitive radio networks. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2021 May 09]. Available from: http://hdl.handle.net/11299/165121.

Council of Science Editors:

Yahyasoltani N. Dynamic learning and resource management under uncertainties for smart grid and cognitive radio networks. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/165121


University of Minnesota

4. Behroozi, Mehdi. Robust Solutions for Geographic Resource Allocation Problems.

Degree: PhD, Industrial and Systems Engineering, 2016, University of Minnesota

 This thesis describes different ways to use robust optimization concepts and techniques in problems that arise in geographic resource allocation. Many problems in geographic resource(more)

Subjects/Keywords: Backbone Network Structures; Geographic Resource Allocation; Geometric Partitioning; Logistics and Transportation; Robust Optimization; Vehicle Routing

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APA (6th Edition):

Behroozi, M. (2016). Robust Solutions for Geographic Resource Allocation Problems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182733

Chicago Manual of Style (16th Edition):

Behroozi, Mehdi. “Robust Solutions for Geographic Resource Allocation Problems.” 2016. Doctoral Dissertation, University of Minnesota. Accessed May 09, 2021. http://hdl.handle.net/11299/182733.

MLA Handbook (7th Edition):

Behroozi, Mehdi. “Robust Solutions for Geographic Resource Allocation Problems.” 2016. Web. 09 May 2021.

Vancouver:

Behroozi M. Robust Solutions for Geographic Resource Allocation Problems. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/11299/182733.

Council of Science Editors:

Behroozi M. Robust Solutions for Geographic Resource Allocation Problems. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182733


University of Southern California

5. Gertphol, Sethavidh. Resource allocation in dynamic real-time systems.

Degree: PhD, Electrical Engineering, 2006, University of Southern California

 Dynamic real-time systems usually operate in an environment that is continuously changing.These changes in the environment cause workload of the system to vary during run… (more)

Subjects/Keywords: resource allocation; robust; real-time systems

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APA (6th Edition):

Gertphol, S. (2006). Resource allocation in dynamic real-time systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/27600/rec/5559

Chicago Manual of Style (16th Edition):

Gertphol, Sethavidh. “Resource allocation in dynamic real-time systems.” 2006. Doctoral Dissertation, University of Southern California. Accessed May 09, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/27600/rec/5559.

MLA Handbook (7th Edition):

Gertphol, Sethavidh. “Resource allocation in dynamic real-time systems.” 2006. Web. 09 May 2021.

Vancouver:

Gertphol S. Resource allocation in dynamic real-time systems. [Internet] [Doctoral dissertation]. University of Southern California; 2006. [cited 2021 May 09]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/27600/rec/5559.

Council of Science Editors:

Gertphol S. Resource allocation in dynamic real-time systems. [Doctoral Dissertation]. University of Southern California; 2006. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/27600/rec/5559


Virginia Tech

6. El-Amine, Hadi. Robust Post-donation Blood Screening under Limited Information.

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

 Blood products are essential components of any healthcare system, and their safety, in terms of being free of transfusion-transmittable infections, is crucial. While the Food… (more)

Subjects/Keywords: Blood screening; Blood safety; Pooled testing; Risk minimization; Robust solution under uncertainty; Minmax Regret; Resource allocation; Cost-effectiveness

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APA (6th Edition):

El-Amine, H. (2016). Robust Post-donation Blood Screening under Limited Information. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/80947

Chicago Manual of Style (16th Edition):

El-Amine, Hadi. “Robust Post-donation Blood Screening under Limited Information.” 2016. Doctoral Dissertation, Virginia Tech. Accessed May 09, 2021. http://hdl.handle.net/10919/80947.

MLA Handbook (7th Edition):

El-Amine, Hadi. “Robust Post-donation Blood Screening under Limited Information.” 2016. Web. 09 May 2021.

Vancouver:

El-Amine H. Robust Post-donation Blood Screening under Limited Information. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/10919/80947.

Council of Science Editors:

El-Amine H. Robust Post-donation Blood Screening under Limited Information. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/80947


University of Pennsylvania

7. Miao, Fei. Data-Driven Dynamic Robust Resource Allocation: Application to Efficient Transportation.

Degree: 2016, University of Pennsylvania

 The transformation to smarter cities brings an array of emerging urbanization challenges. With the development of technologies such as sensor networks, storage devices, and cloud… (more)

Subjects/Keywords: Data-driven; Receding horizon control; Resource allocation; Robust optimization; Uncertainty sets; Civil Engineering; Computer Engineering; Electrical and Electronics

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APA (6th Edition):

Miao, F. (2016). Data-Driven Dynamic Robust Resource Allocation: Application to Efficient Transportation. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/1896

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Miao, Fei. “Data-Driven Dynamic Robust Resource Allocation: Application to Efficient Transportation.” 2016. Thesis, University of Pennsylvania. Accessed May 09, 2021. https://repository.upenn.edu/edissertations/1896.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Miao, Fei. “Data-Driven Dynamic Robust Resource Allocation: Application to Efficient Transportation.” 2016. Web. 09 May 2021.

Vancouver:

Miao F. Data-Driven Dynamic Robust Resource Allocation: Application to Efficient Transportation. [Internet] [Thesis]. University of Pennsylvania; 2016. [cited 2021 May 09]. Available from: https://repository.upenn.edu/edissertations/1896.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Miao F. Data-Driven Dynamic Robust Resource Allocation: Application to Efficient Transportation. [Thesis]. University of Pennsylvania; 2016. Available from: https://repository.upenn.edu/edissertations/1896

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ohio University

8. Lenharth, Andrew. Algorithms for Stable Allocations in Distributed Real-Time Resource Management Systems.

Degree: MS, Computer Science (Engineering), 2004, Ohio University

  Dynamic distributed real-time quality-based resource management systems must allocate tasks to hosts and choose quality settings such that the managed system operates in such… (more)

Subjects/Keywords: Allocation Algorithms; Real-Time; Distributed; Resource Management; Stable; Robust

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APA (6th Edition):

Lenharth, A. (2004). Algorithms for Stable Allocations in Distributed Real-Time Resource Management Systems. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1102697777

Chicago Manual of Style (16th Edition):

Lenharth, Andrew. “Algorithms for Stable Allocations in Distributed Real-Time Resource Management Systems.” 2004. Masters Thesis, Ohio University. Accessed May 09, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1102697777.

MLA Handbook (7th Edition):

Lenharth, Andrew. “Algorithms for Stable Allocations in Distributed Real-Time Resource Management Systems.” 2004. Web. 09 May 2021.

Vancouver:

Lenharth A. Algorithms for Stable Allocations in Distributed Real-Time Resource Management Systems. [Internet] [Masters thesis]. Ohio University; 2004. [cited 2021 May 09]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1102697777.

Council of Science Editors:

Lenharth A. Algorithms for Stable Allocations in Distributed Real-Time Resource Management Systems. [Masters Thesis]. Ohio University; 2004. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1102697777

9. Joshi, S. K. (Satya Krishna). Radio resource allocation techniques for MISO downlink cellular networks.

Degree: 2018, University of Oulu

Abstract This thesis examines radio resource management techniques for multicell multi-input single-output (MISO) downlink networks. Specifically, the thesis focuses on developing linear transmit beamforming techniques… (more)

Subjects/Keywords: distributed optimization; dynamic control; global (nonconvex) optimization; radio resource management; robust resource allocation; spectrum sharing; dynaaminen kontrolli; globaali (ei-konveksi) optimointi; hajautettu optimointi; radioresurssien hallinta; spektrin jakaminen; vakaa resurssiallokaatio

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APA (6th Edition):

Joshi, S. K. (. K. (2018). Radio resource allocation techniques for MISO downlink cellular networks. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789526217437

Chicago Manual of Style (16th Edition):

Joshi, S K (Satya Krishna). “Radio resource allocation techniques for MISO downlink cellular networks.” 2018. Doctoral Dissertation, University of Oulu. Accessed May 09, 2021. http://urn.fi/urn:isbn:9789526217437.

MLA Handbook (7th Edition):

Joshi, S K (Satya Krishna). “Radio resource allocation techniques for MISO downlink cellular networks.” 2018. Web. 09 May 2021.

Vancouver:

Joshi SK(K. Radio resource allocation techniques for MISO downlink cellular networks. [Internet] [Doctoral dissertation]. University of Oulu; 2018. [cited 2021 May 09]. Available from: http://urn.fi/urn:isbn:9789526217437.

Council of Science Editors:

Joshi SK(K. Radio resource allocation techniques for MISO downlink cellular networks. [Doctoral Dissertation]. University of Oulu; 2018. Available from: http://urn.fi/urn:isbn:9789526217437


Queens University

10. Atawia, Ramy. Robust Predictive Resource Allocation for Video Delivery Over Future Wireless Networks .

Degree: Electrical and Computer Engineering, Queens University

 The promising energy saving and quality of service (QoS) gains of Predictive Resource Allocation (PRA) for video streaming have recently been recognized in the wireless… (more)

Subjects/Keywords: Stochastic Optimization ; Video Streaming ; Predictive Resource Allocation ; Robust Optimization ; Machine Learning

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APA (6th Edition):

Atawia, R. (n.d.). Robust Predictive Resource Allocation for Video Delivery Over Future Wireless Networks . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/22019

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Atawia, Ramy. “Robust Predictive Resource Allocation for Video Delivery Over Future Wireless Networks .” Thesis, Queens University. Accessed May 09, 2021. http://hdl.handle.net/1974/22019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Atawia, Ramy. “Robust Predictive Resource Allocation for Video Delivery Over Future Wireless Networks .” Web. 09 May 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Atawia R. Robust Predictive Resource Allocation for Video Delivery Over Future Wireless Networks . [Internet] [Thesis]. Queens University; [cited 2021 May 09]. Available from: http://hdl.handle.net/1974/22019.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Atawia R. Robust Predictive Resource Allocation for Video Delivery Over Future Wireless Networks . [Thesis]. Queens University; Available from: http://hdl.handle.net/1974/22019

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

11. Breuer, Dominic Johannes. Improving patient access via robust healthcare resource allocation models.

Degree: PhD, Department of Mechanical and Industrial Engineering, 2017, Northeastern University

 Timely access to healthcare services is critical to patients ensuring that the right care is received without excessive appointment wait time, delivery costs, and provider… (more)

Subjects/Keywords: healthcare; patient access; resource allocation; robust optimization; uncertainty

…Contents 1 Introduction 1 1.1 Healthcare Resource Allocation… …quality, reliability, and efficiency. 1 1.1 Healthcare Resource Allocation One of the… …when and where they need them. Healthcare resource allocation problems have been decade-old… …time. The objective of any resource allocation problem may be generalized to determine what… …mind. Healthcare resource allocation is further complicated by system variations and… 

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APA (6th Edition):

Breuer, D. J. (2017). Improving patient access via robust healthcare resource allocation models. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20253648

Chicago Manual of Style (16th Edition):

Breuer, Dominic Johannes. “Improving patient access via robust healthcare resource allocation models.” 2017. Doctoral Dissertation, Northeastern University. Accessed May 09, 2021. http://hdl.handle.net/2047/D20253648.

MLA Handbook (7th Edition):

Breuer, Dominic Johannes. “Improving patient access via robust healthcare resource allocation models.” 2017. Web. 09 May 2021.

Vancouver:

Breuer DJ. Improving patient access via robust healthcare resource allocation models. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/2047/D20253648.

Council of Science Editors:

Breuer DJ. Improving patient access via robust healthcare resource allocation models. [Doctoral Dissertation]. Northeastern University; 2017. Available from: http://hdl.handle.net/2047/D20253648


Georgia Tech

12. An, Na. Resource Modeling and Allocation in Competitive Systems.

Degree: PhD, Industrial and Systems Engineering, 2005, Georgia Tech

 This thesis includes three self-contained projects: In the first project Bidding strategies and their impact on the auctioneer's revenue in combinatorial auctions, focusing on combinatorial… (more)

Subjects/Keywords: Shelf-space allocation; Trade allowance; Multistage process; Robust parameter design; Bidding strategy; Combinatorial auctions; Mathematical optimization; Resource allocation; Game theory

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APA (6th Edition):

An, N. (2005). Resource Modeling and Allocation in Competitive Systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/6997

Chicago Manual of Style (16th Edition):

An, Na. “Resource Modeling and Allocation in Competitive Systems.” 2005. Doctoral Dissertation, Georgia Tech. Accessed May 09, 2021. http://hdl.handle.net/1853/6997.

MLA Handbook (7th Edition):

An, Na. “Resource Modeling and Allocation in Competitive Systems.” 2005. Web. 09 May 2021.

Vancouver:

An N. Resource Modeling and Allocation in Competitive Systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2021 May 09]. Available from: http://hdl.handle.net/1853/6997.

Council of Science Editors:

An N. Resource Modeling and Allocation in Competitive Systems. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/6997


Georgia Tech

13. Poole, Benjamin Hancock. A methodology for the robustness-based evaluation of systems-of-systems alternatives using regret analysis.

Degree: PhD, Aerospace Engineering, 2008, Georgia Tech

 After surveying the state-of-the-art in evaluation of alternatives in the defense acquisition process, a methodology for the evaluation of the robustness of systems-of-systems alternatives was… (more)

Subjects/Keywords: Robustness; Robust; Design; Defense; Systems-of-systems; Decision making; Experimental design; Asymmetric warfare; Resource allocation; Mathematical models; Robust optimization; Uncertainty; Decision support systems

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APA (6th Edition):

Poole, B. H. (2008). A methodology for the robustness-based evaluation of systems-of-systems alternatives using regret analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24648

Chicago Manual of Style (16th Edition):

Poole, Benjamin Hancock. “A methodology for the robustness-based evaluation of systems-of-systems alternatives using regret analysis.” 2008. Doctoral Dissertation, Georgia Tech. Accessed May 09, 2021. http://hdl.handle.net/1853/24648.

MLA Handbook (7th Edition):

Poole, Benjamin Hancock. “A methodology for the robustness-based evaluation of systems-of-systems alternatives using regret analysis.” 2008. Web. 09 May 2021.

Vancouver:

Poole BH. A methodology for the robustness-based evaluation of systems-of-systems alternatives using regret analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2021 May 09]. Available from: http://hdl.handle.net/1853/24648.

Council of Science Editors:

Poole BH. A methodology for the robustness-based evaluation of systems-of-systems alternatives using regret analysis. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24648

14. Bridgeman, Dongxue, 1986-. Optimization models for resource allocation under perturbation.

Degree: PhD, 2013, University of Louisville

 Optimization Models for Resource allocation are investing in how to make the best use of available but limited resources in order to achieve the best… (more)

Subjects/Keywords: Emergence response; Robust optimization; Resource allocation; Stochastic programming; Pandemics; Decision-support system

robust programming, will be mainly investigated in order to solve resource allocation problems… …ABSTRACT OPTIMIZATION MODELS FOR RESOURCE ALLOCATION UNDER PERTURBATION Dongxue Bridgeman… …July 26th, 2013 Optimization Models for Resource allocation are investing in how to make the… …strategic planning, resource allocation is a plan for using available resources, especially in the… …during the entire planning horizon and among the various units. Resource allocation plans can… 

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APA (6th Edition):

Bridgeman, Dongxue, 1. (2013). Optimization models for resource allocation under perturbation. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/151 ; https://ir.library.louisville.edu/etd/151

Chicago Manual of Style (16th Edition):

Bridgeman, Dongxue, 1986-. “Optimization models for resource allocation under perturbation.” 2013. Doctoral Dissertation, University of Louisville. Accessed May 09, 2021. 10.18297/etd/151 ; https://ir.library.louisville.edu/etd/151.

MLA Handbook (7th Edition):

Bridgeman, Dongxue, 1986-. “Optimization models for resource allocation under perturbation.” 2013. Web. 09 May 2021.

Vancouver:

Bridgeman, Dongxue 1. Optimization models for resource allocation under perturbation. [Internet] [Doctoral dissertation]. University of Louisville; 2013. [cited 2021 May 09]. Available from: 10.18297/etd/151 ; https://ir.library.louisville.edu/etd/151.

Council of Science Editors:

Bridgeman, Dongxue 1. Optimization models for resource allocation under perturbation. [Doctoral Dissertation]. University of Louisville; 2013. Available from: 10.18297/etd/151 ; https://ir.library.louisville.edu/etd/151

15. Hasan, Monowar. Radio Resource Management for Relay-Aided Device-to-Device Communication.

Degree: Electrical and Computer Engineering, 2013, University of Manitoba

 In this thesis, performance of relay-assisted Device-to-device (D2D) communication is investigated where D2D traffic is carried through relay nodes. I develop resource management schemes to… (more)

Subjects/Keywords: D2D; Resource Allocation; Wireless Communication; Message Passing; Stable Matching; Uncertainty; Robust Optimization

…4.2.1 Formulation of the Nominal RAP . . . . . . . . . . . . . 4.3 Robust Resource Allocation… …4.4.3 Cost of Robust Resource Allocation . . . . . . . . . . . . 4.4.4 Trade-off Between… …Resource allocation Chapter 3 Numerical optimization Robust optimization, gradient-based… …Implementation of MP Strategy . . . . . . . . . . 3.2 Distributed Solution for the Resource Allocation… …4 Resource Allocation Under Channel Uncertainties 4.1 Modeling the Channel Uncertainties… 

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APA (6th Edition):

Hasan, M. (2013). Radio Resource Management for Relay-Aided Device-to-Device Communication. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/30531

Chicago Manual of Style (16th Edition):

Hasan, Monowar. “Radio Resource Management for Relay-Aided Device-to-Device Communication.” 2013. Masters Thesis, University of Manitoba. Accessed May 09, 2021. http://hdl.handle.net/1993/30531.

MLA Handbook (7th Edition):

Hasan, Monowar. “Radio Resource Management for Relay-Aided Device-to-Device Communication.” 2013. Web. 09 May 2021.

Vancouver:

Hasan M. Radio Resource Management for Relay-Aided Device-to-Device Communication. [Internet] [Masters thesis]. University of Manitoba; 2013. [cited 2021 May 09]. Available from: http://hdl.handle.net/1993/30531.

Council of Science Editors:

Hasan M. Radio Resource Management for Relay-Aided Device-to-Device Communication. [Masters Thesis]. University of Manitoba; 2013. Available from: http://hdl.handle.net/1993/30531

16. TAN HWAI YONG MATTHIAS. Estimation of mean and variance response surfaces in robust parameter design.

Degree: 2008, National University of Singapore

Subjects/Keywords: Robust Parameter Design; Noise Variables; Combined Array Design; Mean and Variance Models; Allocation of Resource; Optimal Sample Sizes and Design

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APA (6th Edition):

MATTHIAS, T. H. Y. (2008). Estimation of mean and variance response surfaces in robust parameter design. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/12912

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

MATTHIAS, TAN HWAI YONG. “Estimation of mean and variance response surfaces in robust parameter design.” 2008. Thesis, National University of Singapore. Accessed May 09, 2021. http://scholarbank.nus.edu.sg/handle/10635/12912.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

MATTHIAS, TAN HWAI YONG. “Estimation of mean and variance response surfaces in robust parameter design.” 2008. Web. 09 May 2021.

Vancouver:

MATTHIAS THY. Estimation of mean and variance response surfaces in robust parameter design. [Internet] [Thesis]. National University of Singapore; 2008. [cited 2021 May 09]. Available from: http://scholarbank.nus.edu.sg/handle/10635/12912.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MATTHIAS THY. Estimation of mean and variance response surfaces in robust parameter design. [Thesis]. National University of Singapore; 2008. Available from: http://scholarbank.nus.edu.sg/handle/10635/12912

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Pontifical Catholic University of Rio de Janeiro

17. CARLOS RAONI DE ALENCAR MENDES. [en] EFFECTIVE RESOURCE ALLOCATION FOR PLANNING AND CONTROL PROJECT PORTFOLIOS UNDER UNCERTAINTY: A ROBUST OPTIMIZATION APPROACH.

Degree: 2018, Pontifical Catholic University of Rio de Janeiro

[pt] O planejamento e controle de portfolios de projeto é uma tarefa desafiadora. Eles estão sujeitos a múltiplos riscos, restrições de recursos, relações de precedências… (more)

Subjects/Keywords: [pt] ANALISE DE RISCO; [en] RISK ANALYSIS; [pt] GERENCIAMENTO DE PROJETOS; [en] PROJECT MANAGEMENT; [pt] OTIMIZACAO ESTOCASTICA; [en] STOCHASTIC OPTIMIZATION; [pt] OTIMIZACAO ROBUSTA; [en] ROBUST OPTIMIZATION; [pt] ALOCACAO DE RECURSOS; [en] RESOURCE ALLOCATION; [pt] PORTFOLIO DE PROJETOS; [en] PROJECT PORTFOLIO; [pt] INCERTEZA DEPENDENTE DE DECISAO; [en] DECISION-DEPENDENT UNCERTAINTY

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

APA (6th Edition):

MENDES, C. R. D. A. (2018). [en] EFFECTIVE RESOURCE ALLOCATION FOR PLANNING AND CONTROL PROJECT PORTFOLIOS UNDER UNCERTAINTY: A ROBUST OPTIMIZATION APPROACH. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

MENDES, CARLOS RAONI DE ALENCAR. “[en] EFFECTIVE RESOURCE ALLOCATION FOR PLANNING AND CONTROL PROJECT PORTFOLIOS UNDER UNCERTAINTY: A ROBUST OPTIMIZATION APPROACH.” 2018. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed May 09, 2021. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

MENDES, CARLOS RAONI DE ALENCAR. “[en] EFFECTIVE RESOURCE ALLOCATION FOR PLANNING AND CONTROL PROJECT PORTFOLIOS UNDER UNCERTAINTY: A ROBUST OPTIMIZATION APPROACH.” 2018. Web. 09 May 2021.

Vancouver:

MENDES CRDA. [en] EFFECTIVE RESOURCE ALLOCATION FOR PLANNING AND CONTROL PROJECT PORTFOLIOS UNDER UNCERTAINTY: A ROBUST OPTIMIZATION APPROACH. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. [cited 2021 May 09]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MENDES CRDA. [en] EFFECTIVE RESOURCE ALLOCATION FOR PLANNING AND CONTROL PROJECT PORTFOLIOS UNDER UNCERTAINTY: A ROBUST OPTIMIZATION APPROACH. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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