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You searched for subject:(progressive hedging algorithm). Showing records 1 – 7 of 7 total matches.

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Brno University of Technology

1. Klimeš, Lubomír. Algoritmy stochastického programování: Stochastic Programming Algorithms.

Degree: 2019, Brno University of Technology

 Stochastic programming and optimization are powerful tools for solving a wide variety of engineering problems including uncertainty. The progressive hedging algorithm is an effective decomposition… (more)

Subjects/Keywords: optimalizace; stochastické programovaní; scénářové úlohy; progressive hedging algoritmus; paralelizace; plynulé odlévání oceli; optimization; stochastic programming; scenario-based programmes; progressive hedging algorithm; parallelization; continuous casting process

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

APA (6th Edition):

Klimeš, L. (2019). Algoritmy stochastického programování: Stochastic Programming Algorithms. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/16483

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):

Klimeš, Lubomír. “Algoritmy stochastického programování: Stochastic Programming Algorithms.” 2019. Thesis, Brno University of Technology. Accessed April 12, 2021. http://hdl.handle.net/11012/16483.

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

MLA Handbook (7th Edition):

Klimeš, Lubomír. “Algoritmy stochastického programování: Stochastic Programming Algorithms.” 2019. Web. 12 Apr 2021.

Vancouver:

Klimeš L. Algoritmy stochastického programování: Stochastic Programming Algorithms. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/11012/16483.

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

Council of Science Editors:

Klimeš L. Algoritmy stochastického programování: Stochastic Programming Algorithms. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/16483

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


Brno University of Technology

2. Málek, Martin. Stochastická optimalizace toků v sítích: Stochastic Optimization of Network Flows.

Degree: 2019, Brno University of Technology

 The master's thesis focuses on the stochastic optimization in network flow problems. The theoretical part covers three topics - the graph theory, the optimization and… (more)

Subjects/Keywords: Teorie grafů; toky v sítích; stochastické programování; dvoustupňová optimalizace; progressive hedging algoritmus; Graph theory; network flows; stochastic programming; two-stage optimization; progressive hedging algorithm

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APA (6th Edition):

Málek, M. (2019). Stochastická optimalizace toků v sítích: Stochastic Optimization of Network Flows. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/65983

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):

Málek, Martin. “Stochastická optimalizace toků v sítích: Stochastic Optimization of Network Flows.” 2019. Thesis, Brno University of Technology. Accessed April 12, 2021. http://hdl.handle.net/11012/65983.

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

MLA Handbook (7th Edition):

Málek, Martin. “Stochastická optimalizace toků v sítích: Stochastic Optimization of Network Flows.” 2019. Web. 12 Apr 2021.

Vancouver:

Málek M. Stochastická optimalizace toků v sítích: Stochastic Optimization of Network Flows. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/11012/65983.

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

Council of Science Editors:

Málek M. Stochastická optimalizace toků v sítích: Stochastic Optimization of Network Flows. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/65983

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


Brno University of Technology

3. Šabartová, Zuzana. Prostorová dekompozice úloh stochastického programování s omezeními ve tvaru diferenciálních rovnic: Spatial Decomposition for Differential Equation Constrained Stochastic Programs.

Degree: 2019, Brno University of Technology

 Wide variety of optimum design problems in engineering leads to optimization models constrained by ordinary or partial differential equations (ODE or PDE). Numerical methods based… (more)

Subjects/Keywords: optimalizace; úloha stochastického programování; diferenciální rovnice; metoda konečných prvků; nosník; progressive hedging algoritmus; scénářová dekompozice; prostorová dekompozice; omezení na překrytí; optimization; stochastic program; differential equation; finite element method; beam; progressive hedging algorithm; scenario decomposition; spatial decomposition; overlapping constraints

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

APA (6th Edition):

Šabartová, Z. (2019). Prostorová dekompozice úloh stochastického programování s omezeními ve tvaru diferenciálních rovnic: Spatial Decomposition for Differential Equation Constrained Stochastic Programs. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/7621

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):

Šabartová, Zuzana. “Prostorová dekompozice úloh stochastického programování s omezeními ve tvaru diferenciálních rovnic: Spatial Decomposition for Differential Equation Constrained Stochastic Programs.” 2019. Thesis, Brno University of Technology. Accessed April 12, 2021. http://hdl.handle.net/11012/7621.

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

MLA Handbook (7th Edition):

Šabartová, Zuzana. “Prostorová dekompozice úloh stochastického programování s omezeními ve tvaru diferenciálních rovnic: Spatial Decomposition for Differential Equation Constrained Stochastic Programs.” 2019. Web. 12 Apr 2021.

Vancouver:

Šabartová Z. Prostorová dekompozice úloh stochastického programování s omezeními ve tvaru diferenciálních rovnic: Spatial Decomposition for Differential Equation Constrained Stochastic Programs. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/11012/7621.

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

Council of Science Editors:

Šabartová Z. Prostorová dekompozice úloh stochastického programování s omezeními ve tvaru diferenciálních rovnic: Spatial Decomposition for Differential Equation Constrained Stochastic Programs. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/7621

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

4. SHENG XIAOMING. Liner shipping speed and bunkering management under stochastic environment.

Degree: 2013, National University of Singapore

Subjects/Keywords: Liner shipping; Vessel speed; Bunker prices; (s; S) policy; Progressive hedging algorithm; Column generation heuristic

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APA (6th Edition):

XIAOMING, S. (2013). Liner shipping speed and bunkering management under stochastic environment. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/49592

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):

XIAOMING, SHENG. “Liner shipping speed and bunkering management under stochastic environment.” 2013. Thesis, National University of Singapore. Accessed April 12, 2021. http://scholarbank.nus.edu.sg/handle/10635/49592.

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

MLA Handbook (7th Edition):

XIAOMING, SHENG. “Liner shipping speed and bunkering management under stochastic environment.” 2013. Web. 12 Apr 2021.

Vancouver:

XIAOMING S. Liner shipping speed and bunkering management under stochastic environment. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2021 Apr 12]. Available from: http://scholarbank.nus.edu.sg/handle/10635/49592.

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

Council of Science Editors:

XIAOMING S. Liner shipping speed and bunkering management under stochastic environment. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/49592

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


Brno University of Technology

5. Mrázková, Eva. Approximations in Stochastic Optimization and Their Applications: Approximations in Stochastic Optimization and Their Applications.

Degree: 2019, Brno University of Technology

 Many optimum design problems in engineering areas lead to optimization models constrained by ordinary (ODE) or partial (PDE) differential equations, and furthermore, several elements of… (more)

Subjects/Keywords: optimální inženýrský návrh; ODR a PDR omezení; stochastické programování; optimalizace s pravděpodobnostními omezeními; vícekriteriální optimalizace; metoda Monte Carlo; PHA algoritmus; optimum engineering design; ODE and PDE constraints; stochastic programming; chance constrained programming; multi-objective programming; Monte Carlo method; progressive hedging algorithm

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

APA (6th Edition):

Mrázková, E. (2019). Approximations in Stochastic Optimization and Their Applications: Approximations in Stochastic Optimization and Their Applications. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/1571

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):

Mrázková, Eva. “Approximations in Stochastic Optimization and Their Applications: Approximations in Stochastic Optimization and Their Applications.” 2019. Thesis, Brno University of Technology. Accessed April 12, 2021. http://hdl.handle.net/11012/1571.

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

MLA Handbook (7th Edition):

Mrázková, Eva. “Approximations in Stochastic Optimization and Their Applications: Approximations in Stochastic Optimization and Their Applications.” 2019. Web. 12 Apr 2021.

Vancouver:

Mrázková E. Approximations in Stochastic Optimization and Their Applications: Approximations in Stochastic Optimization and Their Applications. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/11012/1571.

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

Council of Science Editors:

Mrázková E. Approximations in Stochastic Optimization and Their Applications: Approximations in Stochastic Optimization and Their Applications. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/1571

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

6. Poudel, Sushil Raj. Models and algorithms to solve a reliable and congested biomass supply chain network designing problem under uncertainty.

Degree: PhD, Industrial and Systems Engineering, 2017, Mississippi State University

  This dissertation studies two important problems in the field of biomass supply chain network. In the first part of the dissertation, we study the… (more)

Subjects/Keywords: rolling horizon heuristics; progressive hedging algorithm; sample average approximation; congestion prevention; network reliability; disaster management; Biomass supply chain network

…70 3.2.3 Progressive Hedging Algorithm . . . . . . . . . . . . . . . 73 3.2.4 Enhanced… …Progressive Hedging Algorithm . . . . . . . . . 79 3.2.4.1 Penalty Parameter Updating… …4.3.3 Progressive Hedging . . . . . . . . . . . 4.3.4 Enhanced Progressive Hedging Algorithm… …SAA) and Progressive Hedging (PH) algorithm. 4 We apply some heuristics… …decomposition algorithm that combines Sample average approximation with an enhanced Progressive… 

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APA (6th Edition):

Poudel, S. R. (2017). Models and algorithms to solve a reliable and congested biomass supply chain network designing problem under uncertainty. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03222017-101808/ ;

Chicago Manual of Style (16th Edition):

Poudel, Sushil Raj. “Models and algorithms to solve a reliable and congested biomass supply chain network designing problem under uncertainty.” 2017. Doctoral Dissertation, Mississippi State University. Accessed April 12, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03222017-101808/ ;.

MLA Handbook (7th Edition):

Poudel, Sushil Raj. “Models and algorithms to solve a reliable and congested biomass supply chain network designing problem under uncertainty.” 2017. Web. 12 Apr 2021.

Vancouver:

Poudel SR. Models and algorithms to solve a reliable and congested biomass supply chain network designing problem under uncertainty. [Internet] [Doctoral dissertation]. Mississippi State University; 2017. [cited 2021 Apr 12]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03222017-101808/ ;.

Council of Science Editors:

Poudel SR. Models and algorithms to solve a reliable and congested biomass supply chain network designing problem under uncertainty. [Doctoral Dissertation]. Mississippi State University; 2017. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03222017-101808/ ;

7. Aydin, Nezir. Sampling based progressive hedging algorithms for stochastic programming problems.

Degree: PhD, Industrial and Manufacturing Engineering, 2012, Wayne State University

  Many real-world optimization problems have parameter uncertainty. For instances where the uncertainties can be estimated to a certain degree, stochastic programming (SP) methodologies are… (more)

Subjects/Keywords: Capacitated Facility Location Problem, Flexibility for Supply Chain Disruptions, Hybrid algorithms, Progressive Hedging Algorithm, Stochastic Programming, Two Stage Stochastic Programming; Engineering; Industrial Engineering

…1 ........ 17 Table 2: Summary of literature review on Progressive Hedging Algorithm (… …23 Figure 3 Flow Chart of the Progressive Hedging Algorithm (PHA)… …Progressive Hedging Algorithm LLN: Law of Large Numbers LP: Linear Programming MINOS: Modular… …Based Progressive Hedging Algorithm SP: Stochastic Programming UFLP: Uncapacitated… …large scale stochastic programming problem is the Progressive Hedging Algorithm (PHA)… 

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

APA (6th Edition):

Aydin, N. (2012). Sampling based progressive hedging algorithms for stochastic programming problems. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/528

Chicago Manual of Style (16th Edition):

Aydin, Nezir. “Sampling based progressive hedging algorithms for stochastic programming problems.” 2012. Doctoral Dissertation, Wayne State University. Accessed April 12, 2021. https://digitalcommons.wayne.edu/oa_dissertations/528.

MLA Handbook (7th Edition):

Aydin, Nezir. “Sampling based progressive hedging algorithms for stochastic programming problems.” 2012. Web. 12 Apr 2021.

Vancouver:

Aydin N. Sampling based progressive hedging algorithms for stochastic programming problems. [Internet] [Doctoral dissertation]. Wayne State University; 2012. [cited 2021 Apr 12]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/528.

Council of Science Editors:

Aydin N. Sampling based progressive hedging algorithms for stochastic programming problems. [Doctoral Dissertation]. Wayne State University; 2012. Available from: https://digitalcommons.wayne.edu/oa_dissertations/528

.