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You searched for subject:(large scale optimization). Showing records 1 – 30 of 120 total matches.

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University of Edinburgh

1. Zhu, Zhanxing. Integrating local information for inference and optimization in machine learning.

Degree: PhD, 2016, University of Edinburgh

 In practice, machine learners often care about two key issues: one is how to obtain a more accurate answer with limited data, and the other… (more)

Subjects/Keywords: 006.3; machine learning; large-scale optimization; large-scale Bayesian sampling

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APA (6th Edition):

Zhu, Z. (2016). Integrating local information for inference and optimization in machine learning. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/20980

Chicago Manual of Style (16th Edition):

Zhu, Zhanxing. “Integrating local information for inference and optimization in machine learning.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed April 04, 2020. http://hdl.handle.net/1842/20980.

MLA Handbook (7th Edition):

Zhu, Zhanxing. “Integrating local information for inference and optimization in machine learning.” 2016. Web. 04 Apr 2020.

Vancouver:

Zhu Z. Integrating local information for inference and optimization in machine learning. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1842/20980.

Council of Science Editors:

Zhu Z. Integrating local information for inference and optimization in machine learning. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/20980


University of Ghana

2. Katsekpor, T. Iterative Methods for Large Scale Convex Optimization .

Degree: 2017, University of Ghana

 This thesis presents a detailed description and analysis of Bregman’s iterative method for convex programming with linear constraints. Row and block action methods for large(more)

Subjects/Keywords: Iterative Methods; Large Scale Convex; Optimization

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APA (6th Edition):

Katsekpor, T. (2017). Iterative Methods for Large Scale Convex Optimization . (Doctoral Dissertation). University of Ghana. Retrieved from http://ugspace.ug.edu.gh/handle/123456789/23393

Chicago Manual of Style (16th Edition):

Katsekpor, T. “Iterative Methods for Large Scale Convex Optimization .” 2017. Doctoral Dissertation, University of Ghana. Accessed April 04, 2020. http://ugspace.ug.edu.gh/handle/123456789/23393.

MLA Handbook (7th Edition):

Katsekpor, T. “Iterative Methods for Large Scale Convex Optimization .” 2017. Web. 04 Apr 2020.

Vancouver:

Katsekpor T. Iterative Methods for Large Scale Convex Optimization . [Internet] [Doctoral dissertation]. University of Ghana; 2017. [cited 2020 Apr 04]. Available from: http://ugspace.ug.edu.gh/handle/123456789/23393.

Council of Science Editors:

Katsekpor T. Iterative Methods for Large Scale Convex Optimization . [Doctoral Dissertation]. University of Ghana; 2017. Available from: http://ugspace.ug.edu.gh/handle/123456789/23393


University of Toronto

3. Luong, Curtiss. An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems.

Degree: 2015, University of Toronto

Benders' decomposition is an important tool used to solve large-scale optimization problems found in healthcare. Radiation therapy and operating room planning and scheduling are two… (more)

Subjects/Keywords: Benders; large-scale; optimization; planning; 0546

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APA (6th Edition):

Luong, C. (2015). An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/69687

Chicago Manual of Style (16th Edition):

Luong, Curtiss. “An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems.” 2015. Masters Thesis, University of Toronto. Accessed April 04, 2020. http://hdl.handle.net/1807/69687.

MLA Handbook (7th Edition):

Luong, Curtiss. “An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems.” 2015. Web. 04 Apr 2020.

Vancouver:

Luong C. An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1807/69687.

Council of Science Editors:

Luong C. An Examination of Benders' Decomposition Approaches in Large-scale Healthcare Optimization Problems. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/69687


Purdue University

4. Seth, Arpan. ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS.

Degree: PhD, Chemical Engineering, 2015, Purdue University

 In response to a contamination incident in water distribution networks, effective mitigation procedures must be planned. Disinfectant booster stations can be used to neutralize a… (more)

Subjects/Keywords: Large-scale; Modeling; Optimization; Water Networks

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APA (6th Edition):

Seth, A. (2015). ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1316

Chicago Manual of Style (16th Edition):

Seth, Arpan. “ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS.” 2015. Doctoral Dissertation, Purdue University. Accessed April 04, 2020. https://docs.lib.purdue.edu/open_access_dissertations/1316.

MLA Handbook (7th Edition):

Seth, Arpan. “ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS.” 2015. Web. 04 Apr 2020.

Vancouver:

Seth A. ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2020 Apr 04]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1316.

Council of Science Editors:

Seth A. ADVANCED MODELING AND EFFICIENT OPTIMIZATION METHODS FOR REAL-TIME RESPONSE IN WATER NETWORKS. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1316


University of Edinburgh

5. Fountoulakis, Kimon. Higher-order methods for large-scale optimization.

Degree: PhD, 2015, University of Edinburgh

 There has been an increased interest in optimization for the analysis of large-scale data sets which require gigabytes or terabytes of data to be stored.… (more)

Subjects/Keywords: large-scale optimization; Newton-type methods; preconditioning

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APA (6th Edition):

Fountoulakis, K. (2015). Higher-order methods for large-scale optimization. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/15797

Chicago Manual of Style (16th Edition):

Fountoulakis, Kimon. “Higher-order methods for large-scale optimization.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed April 04, 2020. http://hdl.handle.net/1842/15797.

MLA Handbook (7th Edition):

Fountoulakis, Kimon. “Higher-order methods for large-scale optimization.” 2015. Web. 04 Apr 2020.

Vancouver:

Fountoulakis K. Higher-order methods for large-scale optimization. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1842/15797.

Council of Science Editors:

Fountoulakis K. Higher-order methods for large-scale optimization. [Doctoral Dissertation]. University of Edinburgh; 2015. Available from: http://hdl.handle.net/1842/15797

6. Lin, Hongzhou. Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning.

Degree: Docteur es, Mathématiques et informatique, 2017, Grenoble Alpes

 Les problèmes d’optimisation apparaissent naturellement pendant l’entraine-ment de modèles d’apprentissage supervises. Un exemple typique est le problème deminimisation du risque empirique (ERM), qui vise a… (more)

Subjects/Keywords: Apprentissage statistique; Large échelle; Optimization; Accélération; Machine learning; Large-Scale; Optimization; Acceleration; 004; 510

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

APA (6th Edition):

Lin, H. (2017). Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2017GREAM069

Chicago Manual of Style (16th Edition):

Lin, Hongzhou. “Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning.” 2017. Doctoral Dissertation, Grenoble Alpes. Accessed April 04, 2020. http://www.theses.fr/2017GREAM069.

MLA Handbook (7th Edition):

Lin, Hongzhou. “Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning.” 2017. Web. 04 Apr 2020.

Vancouver:

Lin H. Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2017. [cited 2020 Apr 04]. Available from: http://www.theses.fr/2017GREAM069.

Council of Science Editors:

Lin H. Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique : Generic acceleration schemes for gradient-based optimization in machine learning. [Doctoral Dissertation]. Grenoble Alpes; 2017. Available from: http://www.theses.fr/2017GREAM069


Carnegie Mellon University

7. Reddi, Sashank Jakkam. New Optimization Methods for Modern Machine Learning.

Degree: 2017, Carnegie Mellon University

 Modern machine learning systems pose several new statistical, scalability, privacy and ethical challenges. With the advent of massive datasets and increasingly complex tasks, scalability has… (more)

Subjects/Keywords: Machine Learning; Optimization; Large-scale; Distributed optimization; Communication-efficient; Finite-sum

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APA (6th Edition):

Reddi, S. J. (2017). New Optimization Methods for Modern Machine Learning. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1116

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):

Reddi, Sashank Jakkam. “New Optimization Methods for Modern Machine Learning.” 2017. Thesis, Carnegie Mellon University. Accessed April 04, 2020. http://repository.cmu.edu/dissertations/1116.

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

MLA Handbook (7th Edition):

Reddi, Sashank Jakkam. “New Optimization Methods for Modern Machine Learning.” 2017. Web. 04 Apr 2020.

Vancouver:

Reddi SJ. New Optimization Methods for Modern Machine Learning. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Apr 04]. Available from: http://repository.cmu.edu/dissertations/1116.

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

Council of Science Editors:

Reddi SJ. New Optimization Methods for Modern Machine Learning. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/1116

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


UCLA

8. Sun, Yifan. Decomposition methods for semidefinite optimization.

Degree: Electrical Engineering, 2015, UCLA

 Semidefinite optimization problems (SDPs) arise in many applications, including combinatorial optimization, control and signal processing, structural optimization, statistics, and machine learning. Currently, most SDPs are… (more)

Subjects/Keywords: Electrical engineering; decomposition; first-order methods; large-scale optimization; semidefinite optimization

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APA (6th Edition):

Sun, Y. (2015). Decomposition methods for semidefinite optimization. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/1cv6981p

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):

Sun, Yifan. “Decomposition methods for semidefinite optimization.” 2015. Thesis, UCLA. Accessed April 04, 2020. http://www.escholarship.org/uc/item/1cv6981p.

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

MLA Handbook (7th Edition):

Sun, Yifan. “Decomposition methods for semidefinite optimization.” 2015. Web. 04 Apr 2020.

Vancouver:

Sun Y. Decomposition methods for semidefinite optimization. [Internet] [Thesis]. UCLA; 2015. [cited 2020 Apr 04]. Available from: http://www.escholarship.org/uc/item/1cv6981p.

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

Council of Science Editors:

Sun Y. Decomposition methods for semidefinite optimization. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/1cv6981p

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


University of Alberta

9. Marcos, Natalia I. Coordinated-distributed optimal control of large-scale linear dynamic systems.

Degree: PhD, Department of Chemical and Materials Engineering, 2011, University of Alberta

 Since the late 1970s, the design of chemical processes has evolved towards highly integrated operations that can increase plant efficiency. Although plant-wide integration offers substantial… (more)

Subjects/Keywords: distributed control; hierarchical control; large-scale optimization; coordination; optimal control; decomposition

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APA (6th Edition):

Marcos, N. I. (2011). Coordinated-distributed optimal control of large-scale linear dynamic systems. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/gm80hw111

Chicago Manual of Style (16th Edition):

Marcos, Natalia I. “Coordinated-distributed optimal control of large-scale linear dynamic systems.” 2011. Doctoral Dissertation, University of Alberta. Accessed April 04, 2020. https://era.library.ualberta.ca/files/gm80hw111.

MLA Handbook (7th Edition):

Marcos, Natalia I. “Coordinated-distributed optimal control of large-scale linear dynamic systems.” 2011. Web. 04 Apr 2020.

Vancouver:

Marcos NI. Coordinated-distributed optimal control of large-scale linear dynamic systems. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2020 Apr 04]. Available from: https://era.library.ualberta.ca/files/gm80hw111.

Council of Science Editors:

Marcos NI. Coordinated-distributed optimal control of large-scale linear dynamic systems. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/gm80hw111


Carnegie Mellon University

10. Dai, Wei. Learning with Staleness.

Degree: 2018, Carnegie Mellon University

 A fundamental assumption behind most machine learning (ML) algorithms and analyses is the sequential execution. That is, any update to the ML model can be… (more)

Subjects/Keywords: Large Scale Machine Learning; Distributed Optimization Method; Distributed System; Parameter Server

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APA (6th Edition):

Dai, W. (2018). Learning with Staleness. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1209

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):

Dai, Wei. “Learning with Staleness.” 2018. Thesis, Carnegie Mellon University. Accessed April 04, 2020. http://repository.cmu.edu/dissertations/1209.

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

MLA Handbook (7th Edition):

Dai, Wei. “Learning with Staleness.” 2018. Web. 04 Apr 2020.

Vancouver:

Dai W. Learning with Staleness. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2020 Apr 04]. Available from: http://repository.cmu.edu/dissertations/1209.

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

Council of Science Editors:

Dai W. Learning with Staleness. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1209

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


University of California – Berkeley

11. Rabbani, Tarek. Topics in Large-Scale Sparse Estimation and Control.

Degree: Mechanical Engineering, 2013, University of California – Berkeley

 In this thesis, we study two topics related to large-scale sparseestimation and control. In the first topic, we describe a method toeliminate features (variables) in… (more)

Subjects/Keywords: Engineering; Computer science; Classification; Large-Scale Optimization; Machine Learning

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APA (6th Edition):

Rabbani, T. (2013). Topics in Large-Scale Sparse Estimation and Control. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/9bv5600v

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):

Rabbani, Tarek. “Topics in Large-Scale Sparse Estimation and Control.” 2013. Thesis, University of California – Berkeley. Accessed April 04, 2020. http://www.escholarship.org/uc/item/9bv5600v.

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

MLA Handbook (7th Edition):

Rabbani, Tarek. “Topics in Large-Scale Sparse Estimation and Control.” 2013. Web. 04 Apr 2020.

Vancouver:

Rabbani T. Topics in Large-Scale Sparse Estimation and Control. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2020 Apr 04]. Available from: http://www.escholarship.org/uc/item/9bv5600v.

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

Council of Science Editors:

Rabbani T. Topics in Large-Scale Sparse Estimation and Control. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/9bv5600v

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


University of Toronto

12. Shi, Xiao Qi. Optimized Decentralized Control of Large Dynamic Structures.

Degree: 2015, University of Toronto

This thesis has proposed a new optimal decentralized controller design method for solving the tracking and disturbance rejection problems for the class of large scale(more)

Subjects/Keywords: Large Scale System; Optimization; PID Control; System Control; 0537

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APA (6th Edition):

Shi, X. Q. (2015). Optimized Decentralized Control of Large Dynamic Structures. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70685

Chicago Manual of Style (16th Edition):

Shi, Xiao Qi. “Optimized Decentralized Control of Large Dynamic Structures.” 2015. Masters Thesis, University of Toronto. Accessed April 04, 2020. http://hdl.handle.net/1807/70685.

MLA Handbook (7th Edition):

Shi, Xiao Qi. “Optimized Decentralized Control of Large Dynamic Structures.” 2015. Web. 04 Apr 2020.

Vancouver:

Shi XQ. Optimized Decentralized Control of Large Dynamic Structures. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1807/70685.

Council of Science Editors:

Shi XQ. Optimized Decentralized Control of Large Dynamic Structures. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70685


University of New South Wales

13. Maghrebi, Mojtaba. Using Machine Learning to Automatically Plan Concrete Delivery Dispatching.

Degree: Civil & Environmental Engineering, 2014, University of New South Wales

 Demand for concrete, regardless of the geographical location, is increasing globally. While the Ready Mixed Concrete (RMC) industry is facing an ever-increasing demand for concrete,… (more)

Subjects/Keywords: Large scale optimization; Concrete delivery; Machine learning; Experts’ decisions

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APA (6th Edition):

Maghrebi, M. (2014). Using Machine Learning to Automatically Plan Concrete Delivery Dispatching. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54231 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13522/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Maghrebi, Mojtaba. “Using Machine Learning to Automatically Plan Concrete Delivery Dispatching.” 2014. Doctoral Dissertation, University of New South Wales. Accessed April 04, 2020. http://handle.unsw.edu.au/1959.4/54231 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13522/SOURCE02?view=true.

MLA Handbook (7th Edition):

Maghrebi, Mojtaba. “Using Machine Learning to Automatically Plan Concrete Delivery Dispatching.” 2014. Web. 04 Apr 2020.

Vancouver:

Maghrebi M. Using Machine Learning to Automatically Plan Concrete Delivery Dispatching. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Apr 04]. Available from: http://handle.unsw.edu.au/1959.4/54231 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13522/SOURCE02?view=true.

Council of Science Editors:

Maghrebi M. Using Machine Learning to Automatically Plan Concrete Delivery Dispatching. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/54231 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:13522/SOURCE02?view=true


University of Southern California

14. Jain, Manish. Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments.

Degree: PhD, Computer Science, 2013, University of Southern California

 Protecting critical infrastructure and targets such as airports, transportation networks, power generation facilities as well as critical natural resources and endangered species is an important… (more)

Subjects/Keywords: game theory; security; large scale optimization; multi-agent systems; artificial intelligence

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APA (6th Edition):

Jain, M. (2013). Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/302749/rec/7484

Chicago Manual of Style (16th Edition):

Jain, Manish. “Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments.” 2013. Doctoral Dissertation, University of Southern California. Accessed April 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/302749/rec/7484.

MLA Handbook (7th Edition):

Jain, Manish. “Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments.” 2013. Web. 04 Apr 2020.

Vancouver:

Jain M. Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Apr 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/302749/rec/7484.

Council of Science Editors:

Jain M. Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/302749/rec/7484


Anna University

15. Jackuline moni D. Certain optimization techniques for Floorplanning in vlsi physical design;.

Degree: Certain optimization techniques for Floorplanning in vlsi physical design, 2014, Anna University

newlineFloorplanning is an important stage in VLSI Very Large Scale newlineIntegrated Circuits physical design cycle as it determines the performance newlinesize and reliability of VLSI… (more)

Subjects/Keywords: Differential Evolution; Hybrid Particle Swarm Optimization; Particle Swarm Optimization; Very Large Scale Integrated

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APA (6th Edition):

D, J. m. (2014). Certain optimization techniques for Floorplanning in vlsi physical design;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/27186

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):

D, Jackuline moni. “Certain optimization techniques for Floorplanning in vlsi physical design;.” 2014. Thesis, Anna University. Accessed April 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/27186.

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

MLA Handbook (7th Edition):

D, Jackuline moni. “Certain optimization techniques for Floorplanning in vlsi physical design;.” 2014. Web. 04 Apr 2020.

Vancouver:

D Jm. Certain optimization techniques for Floorplanning in vlsi physical design;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Apr 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27186.

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

Council of Science Editors:

D Jm. Certain optimization techniques for Floorplanning in vlsi physical design;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27186

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


University of Cincinnati

16. HomChaudhuri, Baisravan. Price-Based Distributed Optimization in Large-Scale Networked Systems.

Degree: PhD, Engineering and Applied Science: Mechanical Engineering, 2013, University of Cincinnati

 This work is intended towards the development of distributed optimization methods for large-scale networked systems. The advancement in technological fields such as networking, communication and… (more)

Subjects/Keywords: Mechanics; Distributed Optimization; Mathematical Optimization; Multi-Agent Systems; Market-Based Methods; Large-Scale Networked Systems

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APA (6th Edition):

HomChaudhuri, B. (2013). Price-Based Distributed Optimization in Large-Scale Networked Systems. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868426

Chicago Manual of Style (16th Edition):

HomChaudhuri, Baisravan. “Price-Based Distributed Optimization in Large-Scale Networked Systems.” 2013. Doctoral Dissertation, University of Cincinnati. Accessed April 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868426.

MLA Handbook (7th Edition):

HomChaudhuri, Baisravan. “Price-Based Distributed Optimization in Large-Scale Networked Systems.” 2013. Web. 04 Apr 2020.

Vancouver:

HomChaudhuri B. Price-Based Distributed Optimization in Large-Scale Networked Systems. [Internet] [Doctoral dissertation]. University of Cincinnati; 2013. [cited 2020 Apr 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868426.

Council of Science Editors:

HomChaudhuri B. Price-Based Distributed Optimization in Large-Scale Networked Systems. [Doctoral Dissertation]. University of Cincinnati; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868426


RMIT University

17. Omidvar, M. Cooperative co-evolutionary algorithms for large-scale optimization.

Degree: 2015, RMIT University

 The aim of this research is to investigate the use of a divide-and-conquer approach for solving continuous large-scale global optimization problems using evolutionary methods. The… (more)

Subjects/Keywords: Fields of Research; Large-scale optimization; Cooperative co-evolution; Evolutionary algorithms; Problem decomposition; Global optimization

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APA (6th Edition):

Omidvar, M. (2015). Cooperative co-evolutionary algorithms for large-scale optimization. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:161713

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):

Omidvar, M. “Cooperative co-evolutionary algorithms for large-scale optimization.” 2015. Thesis, RMIT University. Accessed April 04, 2020. http://researchbank.rmit.edu.au/view/rmit:161713.

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

MLA Handbook (7th Edition):

Omidvar, M. “Cooperative co-evolutionary algorithms for large-scale optimization.” 2015. Web. 04 Apr 2020.

Vancouver:

Omidvar M. Cooperative co-evolutionary algorithms for large-scale optimization. [Internet] [Thesis]. RMIT University; 2015. [cited 2020 Apr 04]. Available from: http://researchbank.rmit.edu.au/view/rmit:161713.

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

Council of Science Editors:

Omidvar M. Cooperative co-evolutionary algorithms for large-scale optimization. [Thesis]. RMIT University; 2015. Available from: http://researchbank.rmit.edu.au/view/rmit:161713

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


Cleveland State University

18. Borotikar, Bhushan S. Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury.

Degree: Doctor of Engineering, Fenn College of Engineering, 2009, Cleveland State University

  Knee joint is a complex joint involving multiple interactions between cartilage, bone, muscles, ligaments, tendons and neural control. Anterior Cruciate Ligament (ACL) is one… (more)

Subjects/Keywords: Biomedical Research; knee joint model; ACL; biomechanics; large scale optimization; ACL injury; knee biomechanics

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

APA (6th Edition):

Borotikar, B. S. (2009). Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury. (Doctoral Dissertation). Cleveland State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=csu1260910363

Chicago Manual of Style (16th Edition):

Borotikar, Bhushan S. “Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury.” 2009. Doctoral Dissertation, Cleveland State University. Accessed April 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=csu1260910363.

MLA Handbook (7th Edition):

Borotikar, Bhushan S. “Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury.” 2009. Web. 04 Apr 2020.

Vancouver:

Borotikar BS. Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury. [Internet] [Doctoral dissertation]. Cleveland State University; 2009. [cited 2020 Apr 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1260910363.

Council of Science Editors:

Borotikar BS. Subject Specific Computational Models of the Knee to Predict Anterior Cruciate Ligament Injury. [Doctoral Dissertation]. Cleveland State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1260910363

19. Ding, Jing. An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks.

Degree: MSin Civil Engineering (M.S.C.E.), Civil Engineering, 2012, U of Massachusetts : Masters

  The objective of the research is to study optimal routing policy (ORP) problems and to develop an optimal adaptive routing algorithm practical for large-scale(more)

Subjects/Keywords: Routing Policy; Adaptive Routing; Stochastic; Time-dependent; Network Optimization; Large-scale Networks; Civil Engineering

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APA (6th Edition):

Ding, J. (2012). An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks. (Masters Thesis). U of Massachusetts : Masters. Retrieved from http://scholarworks.umass.edu/theses/902

Chicago Manual of Style (16th Edition):

Ding, Jing. “An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks.” 2012. Masters Thesis, U of Massachusetts : Masters. Accessed April 04, 2020. http://scholarworks.umass.edu/theses/902.

MLA Handbook (7th Edition):

Ding, Jing. “An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks.” 2012. Web. 04 Apr 2020.

Vancouver:

Ding J. An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks. [Internet] [Masters thesis]. U of Massachusetts : Masters; 2012. [cited 2020 Apr 04]. Available from: http://scholarworks.umass.edu/theses/902.

Council of Science Editors:

Ding J. An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks. [Masters Thesis]. U of Massachusetts : Masters; 2012. Available from: http://scholarworks.umass.edu/theses/902


Delft University of Technology

20. Spiridon, V.L. A Genetic Approach to Programming Large-Scale Systems:.

Degree: 2013, Delft University of Technology

 In recent years, there is an increasing interest in the scientific community for development of algorithms targeting large-scale networks. In addition to their sheer size,… (more)

Subjects/Keywords: Genetic Programming; Large-Scale Systems; Distributed Algorithms; Algorithm Discovery; Scalability; Wireless Sensor Networks; Optimization Heuristics

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

APA (6th Edition):

Spiridon, V. L. (2013). A Genetic Approach to Programming Large-Scale Systems:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a93e7843-552e-432c-8133-f17b5ef6de89

Chicago Manual of Style (16th Edition):

Spiridon, V L. “A Genetic Approach to Programming Large-Scale Systems:.” 2013. Masters Thesis, Delft University of Technology. Accessed April 04, 2020. http://resolver.tudelft.nl/uuid:a93e7843-552e-432c-8133-f17b5ef6de89.

MLA Handbook (7th Edition):

Spiridon, V L. “A Genetic Approach to Programming Large-Scale Systems:.” 2013. Web. 04 Apr 2020.

Vancouver:

Spiridon VL. A Genetic Approach to Programming Large-Scale Systems:. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2020 Apr 04]. Available from: http://resolver.tudelft.nl/uuid:a93e7843-552e-432c-8133-f17b5ef6de89.

Council of Science Editors:

Spiridon VL. A Genetic Approach to Programming Large-Scale Systems:. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:a93e7843-552e-432c-8133-f17b5ef6de89


Georgia Tech

21. Yan, Hao. High dimensional data analysis for anomaly detection and quality improvement.

Degree: PhD, Industrial and Systems Engineering, 2017, Georgia Tech

 Analysis of large-scale high-dimensional data with a complex heterogeneous data structure to extract information or useful features is vital for the purpose of data fusion… (more)

Subjects/Keywords: High-dimensional data; Large-scale optimization; Real time analysis; Process monitoring; Tensor

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

APA (6th Edition):

Yan, H. (2017). High dimensional data analysis for anomaly detection and quality improvement. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60138

Chicago Manual of Style (16th Edition):

Yan, Hao. “High dimensional data analysis for anomaly detection and quality improvement.” 2017. Doctoral Dissertation, Georgia Tech. Accessed April 04, 2020. http://hdl.handle.net/1853/60138.

MLA Handbook (7th Edition):

Yan, Hao. “High dimensional data analysis for anomaly detection and quality improvement.” 2017. Web. 04 Apr 2020.

Vancouver:

Yan H. High dimensional data analysis for anomaly detection and quality improvement. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1853/60138.

Council of Science Editors:

Yan H. High dimensional data analysis for anomaly detection and quality improvement. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60138


Florida Atlantic University

22. Gottipati, Chenchu B. Graph labeling and non-separating trees.

Degree: 2014, Florida Atlantic University

Summary: This dissertation studies two independent problems, one is about graph labeling and the other problem is related to connectivity condition in a simple graph.… (more)

Subjects/Keywords: Computational complexity; Computer graphics; Graph theory; Integrated circuits  – Very large scale integration; Mathematical optimization

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APA (6th Edition):

Gottipati, C. B. (2014). Graph labeling and non-separating trees. (Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004289 ; (URL) http://purl.flvc.org/fau/fd/FA00004289

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):

Gottipati, Chenchu B. “Graph labeling and non-separating trees.” 2014. Thesis, Florida Atlantic University. Accessed April 04, 2020. http://purl.flvc.org/fau/fd/FA00004289 ; (URL) http://purl.flvc.org/fau/fd/FA00004289.

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

MLA Handbook (7th Edition):

Gottipati, Chenchu B. “Graph labeling and non-separating trees.” 2014. Web. 04 Apr 2020.

Vancouver:

Gottipati CB. Graph labeling and non-separating trees. [Internet] [Thesis]. Florida Atlantic University; 2014. [cited 2020 Apr 04]. Available from: http://purl.flvc.org/fau/fd/FA00004289 ; (URL) http://purl.flvc.org/fau/fd/FA00004289.

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

Council of Science Editors:

Gottipati CB. Graph labeling and non-separating trees. [Thesis]. Florida Atlantic University; 2014. Available from: http://purl.flvc.org/fau/fd/FA00004289 ; (URL) http://purl.flvc.org/fau/fd/FA00004289

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

23. Ait Elhara, Ouassim. Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions.

Degree: Docteur es, Informatique, 2017, Université Paris-Saclay (ComUE)

Etant donné le coût élevé qui accompagne, en général, la résolution de problème en grandes dimensions, notamment quand il s'agit de problèmes réels; le recours… (more)

Subjects/Keywords: Optimisation continue; Benchmarking; Stratégies d'évolution; Grandes dimensions; Continuous optimization; Benchmarking; Evolution strategies; Large scale

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APA (6th Edition):

Ait Elhara, O. (2017). Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2017SACLS211

Chicago Manual of Style (16th Edition):

Ait Elhara, Ouassim. “Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions.” 2017. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed April 04, 2020. http://www.theses.fr/2017SACLS211.

MLA Handbook (7th Edition):

Ait Elhara, Ouassim. “Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions.” 2017. Web. 04 Apr 2020.

Vancouver:

Ait Elhara O. Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2017. [cited 2020 Apr 04]. Available from: http://www.theses.fr/2017SACLS211.

Council of Science Editors:

Ait Elhara O. Stochastic Black-Box Optimization and Benchmarking in Large Dimensions : Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2017. Available from: http://www.theses.fr/2017SACLS211


University of Illinois – Urbana-Champaign

24. Williams, Matthew A. A hierarchical control strategy for aircraft thermal systems.

Degree: MS, 0133, 2014, University of Illinois – Urbana-Champaign

 Aircraft systems present an interesting control problem given the fact that there exist multiple objectives, actuators, and physical dependencies throughout the system. For decades the… (more)

Subjects/Keywords: Modeling and Control; Large-scale systems; Aircraft thermal systems; Model predictive control; Optimization; Thermal energy

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APA (6th Edition):

Williams, M. A. (2014). A hierarchical control strategy for aircraft thermal systems. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50649

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):

Williams, Matthew A. “A hierarchical control strategy for aircraft thermal systems.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed April 04, 2020. http://hdl.handle.net/2142/50649.

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

MLA Handbook (7th Edition):

Williams, Matthew A. “A hierarchical control strategy for aircraft thermal systems.” 2014. Web. 04 Apr 2020.

Vancouver:

Williams MA. A hierarchical control strategy for aircraft thermal systems. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/2142/50649.

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

Council of Science Editors:

Williams MA. A hierarchical control strategy for aircraft thermal systems. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50649

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


University of Illinois – Urbana-Champaign

25. Ramezani, Hani. WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones.

Degree: PhD, Civil Engineering, 2016, University of Illinois – Urbana-Champaign

 Speed harmonization, known as Variable Speed Limit (VSL), is implemented through a number of Changeable Message Signs (CMSs) spaced out over a stretch of highway.… (more)

Subjects/Keywords: Speed harmonization; variable speed limit; second order model; large scale optimization; mixed integer nonlinear program

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APA (6th Edition):

Ramezani, H. (2016). WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90917

Chicago Manual of Style (16th Edition):

Ramezani, Hani. “WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 04, 2020. http://hdl.handle.net/2142/90917.

MLA Handbook (7th Edition):

Ramezani, Hani. “WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones.” 2016. Web. 04 Apr 2020.

Vancouver:

Ramezani H. WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/2142/90917.

Council of Science Editors:

Ramezani H. WZ-speed harmonizer: an optimized active traffic and demand management system with speed harmonization for work zones. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90917


University of Minnesota

26. Hu, Bin. A Robust Control Perspective on Optimization of Strongly-Convex Functions.

Degree: PhD, Aerospace Engineering and Mechanics, 2016, University of Minnesota

Large-scale optimization is a central topic in big data science. First-order black-box optimization methods have been widely applied in machine learning problems, since the oracle… (more)

Subjects/Keywords: Integral Quadratic Constraints; Large-Scale Optimization; Machine Learning; Robust Control; Stochastic Average Gradient; Stochastic Gradient

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APA (6th Edition):

Hu, B. (2016). A Robust Control Perspective on Optimization of Strongly-Convex Functions. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182283

Chicago Manual of Style (16th Edition):

Hu, Bin. “A Robust Control Perspective on Optimization of Strongly-Convex Functions.” 2016. Doctoral Dissertation, University of Minnesota. Accessed April 04, 2020. http://hdl.handle.net/11299/182283.

MLA Handbook (7th Edition):

Hu, Bin. “A Robust Control Perspective on Optimization of Strongly-Convex Functions.” 2016. Web. 04 Apr 2020.

Vancouver:

Hu B. A Robust Control Perspective on Optimization of Strongly-Convex Functions. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11299/182283.

Council of Science Editors:

Hu B. A Robust Control Perspective on Optimization of Strongly-Convex Functions. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182283


Lehigh University

27. Liu, Jie. Recent Advances in Randomized Methods for Big Data Optimization.

Degree: PhD, Information and Systems Engineering, 2018, Lehigh University

 In this thesis, we discuss and develop randomized algorithms for big data problems. In particular, we study the finite-sum optimization with newly emerged variance- reduction… (more)

Subjects/Keywords: Big Data Optimization; Large-scale Optimization; Machine Learning; Power Systems; Randomized Methods; Computer and Systems Architecture

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APA (6th Edition):

Liu, J. (2018). Recent Advances in Randomized Methods for Big Data Optimization. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/4356

Chicago Manual of Style (16th Edition):

Liu, Jie. “Recent Advances in Randomized Methods for Big Data Optimization.” 2018. Doctoral Dissertation, Lehigh University. Accessed April 04, 2020. https://preserve.lehigh.edu/etd/4356.

MLA Handbook (7th Edition):

Liu, Jie. “Recent Advances in Randomized Methods for Big Data Optimization.” 2018. Web. 04 Apr 2020.

Vancouver:

Liu J. Recent Advances in Randomized Methods for Big Data Optimization. [Internet] [Doctoral dissertation]. Lehigh University; 2018. [cited 2020 Apr 04]. Available from: https://preserve.lehigh.edu/etd/4356.

Council of Science Editors:

Liu J. Recent Advances in Randomized Methods for Big Data Optimization. [Doctoral Dissertation]. Lehigh University; 2018. Available from: https://preserve.lehigh.edu/etd/4356


Brock University

28. Douglas, Jay. Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems .

Degree: Department of Computer Science, Brock University

 For large-scale optimization problems (LSOPs), an increased problem size reduces performance by both increasing the landscape complexity, as well as exponentially increasing the search space… (more)

Subjects/Keywords: Large-scale Optimization; Particle Swarm Optimization; Cooperative; Merging; Decomposition

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APA (6th Edition):

Douglas, J. (n.d.). Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems . (Thesis). Brock University. Retrieved from http://hdl.handle.net/10464/13876

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):

Douglas, Jay. “Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems .” Thesis, Brock University. Accessed April 04, 2020. http://hdl.handle.net/10464/13876.

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):

Douglas, Jay. “Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems .” Web. 04 Apr 2020.

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

Vancouver:

Douglas J. Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems . [Internet] [Thesis]. Brock University; [cited 2020 Apr 04]. Available from: http://hdl.handle.net/10464/13876.

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:

Douglas J. Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems . [Thesis]. Brock University; Available from: http://hdl.handle.net/10464/13876

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


Iowa State University

29. Murugaiyan, Suresh. Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study.

Degree: 2017, Iowa State University

Large-scale complex engineered systems (LSCES) are naturally a part of different areas of aerospace engineering and are typically characterized by high cost, high risk and… (more)

Subjects/Keywords: large scale complex engineered systems; Multidisciplinary design optimization; optimization; Requirements; Systems engineering; Value driven design; Aerospace Engineering; Industrial Engineering; Mechanical Engineering

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APA (6th Edition):

Murugaiyan, S. (2017). Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16523

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):

Murugaiyan, Suresh. “Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study.” 2017. Thesis, Iowa State University. Accessed April 04, 2020. https://lib.dr.iastate.edu/etd/16523.

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

MLA Handbook (7th Edition):

Murugaiyan, Suresh. “Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study.” 2017. Web. 04 Apr 2020.

Vancouver:

Murugaiyan S. Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study. [Internet] [Thesis]. Iowa State University; 2017. [cited 2020 Apr 04]. Available from: https://lib.dr.iastate.edu/etd/16523.

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

Council of Science Editors:

Murugaiyan S. Modeling requirements to value formulation in the design of large-scale complex engineered systems: A satellite system case study. [Thesis]. Iowa State University; 2017. Available from: https://lib.dr.iastate.edu/etd/16523

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


University of Melbourne

30. Sun, Yuan. On the analysis of interaction between decision variables.

Degree: 2017, University of Melbourne

 Many real-world design and decision-making problems are characterized by the interactions between decision variables. In engineering optimization problems, the effects of one input variable on… (more)

Subjects/Keywords: artificial intelligence; evolutionary computation; continuous optimization; classification; feature selection; variable interaction; exploratory landscape analysis; cooperative co-evolution; large-scale optimization

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APA (6th Edition):

Sun, Y. (2017). On the analysis of interaction between decision variables. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/208936

Chicago Manual of Style (16th Edition):

Sun, Yuan. “On the analysis of interaction between decision variables.” 2017. Doctoral Dissertation, University of Melbourne. Accessed April 04, 2020. http://hdl.handle.net/11343/208936.

MLA Handbook (7th Edition):

Sun, Yuan. “On the analysis of interaction between decision variables.” 2017. Web. 04 Apr 2020.

Vancouver:

Sun Y. On the analysis of interaction between decision variables. [Internet] [Doctoral dissertation]. University of Melbourne; 2017. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11343/208936.

Council of Science Editors:

Sun Y. On the analysis of interaction between decision variables. [Doctoral Dissertation]. University of Melbourne; 2017. Available from: http://hdl.handle.net/11343/208936

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