Výsledky vyhledávání - Computational method stochastic programming

An Analytical Method for Fast Optimization of Multireservoir Hydropower Systems Operations Considering Risk‐Return Tradeoffs.

Autoři: Mousavi, S. Jamshid Ponnambalam, Kumaraswamy

Zdroj: Water Resources Research; Jun2025, Vol. 61 Issue 6, p1-18, 18p

Témata: DYNAMIC programming, ENERGY function, WATER storage, NONLINEAR functions, ENERGY consumption, STOCHASTIC programming

A Two-stage Stochastic Bi-level Model and a Decomposition Algorithm for the Valve Location Problem in Water Networks.

Autoři: Hooshmand, F. MirHassani, S. A. Jamalian, M.

Zdroj: Water Resources Management; Sep2025, Vol. 39 Issue 12, p6239-6258, 20p

Témata: STOCHASTIC programming, PIPELINE failures, TIME complexity, DECOMPOSITION method, MATHEMATICAL optimization, ENVIRONMENTAL infrastructure, OPTIMIZATION algorithms

Stochastic dynamic programming methods for the portfolio selection problem

Autoři: Karamanis, Dimitrios

Témata: 519.7, HB Economic Theory

Přístupová URL adresa: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.579485

An Analytical Method for Fast Optimization of Multireservoir Hydropower Systems Operations Considering Risk‐Return Tradeoffs

Autoři: S. Jamshid Mousavi Kumaraswamy Ponnambalam

Zdroj: Water Resources Research, Vol 61, Iss 6, Pp n/a-n/a (2025)

Témata: multireservoir hydropower operations, stochastic dynamic programming, implicit stochastic programming, risk, and efficient frontier, Environmental sciences, GE1-350

Popis souboru: electronic resource

Relation: https://doaj.org/toc/0043-1397; https://doaj.org/toc/1944-7973

Přístupová URL adresa: https://doaj.org/article/ef51001efa334178942165e922ec4152

Design of experiments for the stochastic unit commitment with economic dispatch models

Autoři: Nahal Sakhavand Jay Rosenberger Victoria C.P. Chen a další

Zdroj: EURO Journal on Computational Optimization, Vol 12, Iss , Pp 100089- (2024)

Témata: Unit commitment, Economic dispatch, Stochastic programming, Design and analysis of computer experiments, Multivariate adaptive regression splines, Applied mathematics. Quantitative methods, T57-57.97, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2192440624000066; https://doaj.org/toc/2192-4406

Přístupová URL adresa: https://doaj.org/article/8d76bc085c9e4bc1a23c26dc3643ce40

Stochastic planning of integrated energy system based on correlation scenario generation method via Copula function considering multiple uncertainties in renewable energy sources and demands

Autoři: Jinfan Chen Chengxiong Mao Zhe Liu a další

Zdroj: IET Renewable Power Generation, Vol 17, Iss 12, Pp 2978-2996 (2023)

Témata: distributed power generation, energy management systems, planning, renewable energy sources, stochastic programming, Renewable energy sources, TJ807-830

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1752-1416; https://doaj.org/toc/1752-1424

Přístupová URL adresa: https://doaj.org/article/91a101ac2e614fa6b5236370773ba7ac

Efficient power system year-round hourly operation simulation based on multi-stage Stochastic Dual Dynamic Integer Programming

Autoři: Tao Qian Qiyu Wu Qinran Hu

Zdroj: International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110158- (2024)

Témata: Year-round operation simulation, Stochastic dual dynamic integer programming, Unit commitment, Renewable energy sources, Uncertainty, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S014206152400379X; https://doaj.org/toc/0142-0615

Přístupová URL adresa: https://doaj.org/article/df8ea73c4eeb4143ac01ddfecc979fc3

A Fast Penalty-Based Gauss-Seidel Method for Stochastic Unit Commitment With Uncertain Load and Wind Generation

Autoři: Ananth M. Palani Hongyu Wu Medhat M. Morcos

Zdroj: IEEE Open Access Journal of Power and Energy, Vol 8, Pp 211-222 (2021)

Témata: Exact augmented Lagrangian, Frank-Wolfe algorithm, Gauss-Seidel method, mixed-integer programming, progressive hedging algorithm, stochastic programming, Distribution or transmission of electric power, TK3001-3521, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9427479/; https://doaj.org/toc/2687-7910

Přístupová URL adresa: https://doaj.org/article/a17ff0b7eff9489e839c2e9dbac41e79

Decomposition methods for multi-horizon stochastic programming

Autoři: Zhang, Hongyu Grossmann, Ignacio E. Tomasgard, Asgeir

Relation: Norges forskningsråd: 296207

Dostupnost: https://hdl.handle.net/11250/3149339

A comparison of four approaches from stochastic programming for large-scale unit-commitment

Autoři: Wim van Ackooij

Zdroj: EURO Journal on Computational Optimization, Vol 5, Iss 1, Pp 119-147 (2017)

Témata: 49M37, 65K05, 90C15, Applied mathematics. Quantitative methods, T57-57.97, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2192440621000769; https://doaj.org/toc/2192-4406

Přístupová URL adresa: https://doaj.org/article/022951c84a9848a19f51583b8bb53bc1

Computational Stochastic Programming

Autoři: Lewis Ntaimo

Resource Type: eBook.

Témata: Mathematical optimization, Calculus of variations, Probabilities, Computer science—Mathematics, Neural networks (Computer science), Algorithms, Dynamical systems

Categories: MATHEMATICS / Optimization, COMPUTERS / Programming / Algorithms, MATHEMATICS / Applied, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Mathematical Analysis, SCIENCE / System Theory

Two-stage stochastic capacitated Lot-Sizing problem by Lot-Size adaptation approach

Autoři: Arsalan Rahmani Meysam Hosseini Amir Sahami

Zdroj: AUT Journal of Mathematics and Computing, Vol 6, Iss 1, Pp 55-66 (2025)

Témata: two-stage stochastic programming, productive planning, inventory systems, robust model, lagrangian relaxation, benders decomposition, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://ajmc.aut.ac.ir/article_5281_39a6aa4139651ab18847fb38271b7a67.pdf; https://doaj.org/toc/2783-2449; https://doaj.org/toc/2783-2287

Přístupová URL adresa: https://doaj.org/article/29880378773b4cff8eda037ce168c2d6

A scenario-based stochastic programming model for multi-commodity distribution considering disruption in distribution network

Autoři: Moddassir Khan Nayeem Shahriar Tanvir Alam

Zdroj: Results in Control and Optimization, Vol 8, Iss , Pp 100167- (2022)

Témata: Humanitarian logistics, Multi-commodity distribution, Secondary disasters, Facility disruption, Stochastic programming, Applied mathematics. Quantitative methods, T57-57.97

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S266672072200039X; https://doaj.org/toc/2666-7207

Přístupová URL adresa: https://doaj.org/article/5ac57c398f6c47d7b751d8d3a114aa3e

QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

Autoři: Antonius B. Dieker Steven T. Hackman

Resource Type: eBook.

Témata: Stochastic systems--Mathematical models, Stochastic analysis

Categories: MATHEMATICS / Applied, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Stochastic Processes

Effects of uncertainty in the design parameters during the design of horizontal gravity oil, gas and water separators

Autoři: Abubakar Juma Chilala Milan Stanko Oras J. Mkinga

Zdroj: Journal of Petroleum Exploration and Production Technology, Vol 15, Iss 2, Pp 1-16 (2025)

Témata: Optimization, Bulk separators, Stochastic programming, Decision support method, Uncertainties, Petroleum refining. Petroleum products, TP690-692.5, Petrology, QE420-499

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2190-0558; https://doaj.org/toc/2190-0566

Přístupová URL adresa: https://doaj.org/article/4a9b42cdd89e4eed940b5a0e7e7d4e6f

Modelling and solution methods for stochastic optimisation

Autoři: Zverovich, Victor Mitra, G.

Přispěvatelé: Zverovich, Victor Mitra, G.

Témata: 005.3, Stochastic programming, Decomposition methods, Modelling and solver system

Přístupová URL adresa: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.539922

Stochastic programming methods for scheduling of airport runway operations under uncertainty

Autoři: Sölveling, Gustaf

Témata: Sequencing, Runway scheduling, Integer programming, Stochastic programming, Air traffic control, Scheduling

Dostupnost: http://hdl.handle.net/1853/44842

Learning-based stochastic multi-objective optimizer for uncertain power system scheduling.

Autoři: Deng, B. Li, M.S. Ji, T.Y. a další

Zdroj: Applied Soft Computing. Aug2025, Vol. 180, pN.PAG-N.PAG. 1p.

Témata: Multi-objective optimization, Computational complexity, Machine learning, Renewable energy sources, Stochastic programming, Global optimization

Multi-resource allocation and care sequence assignment in patient management: a stochastic programming approach.

Autoři: Yao X Shehadeh KS Padman R

Zdroj: Health care management science [Health Care Manag Sci] 2024 Sep; Vol. 27 (3), pp. 352-369. Date of Electronic Publication: 2024 May 30.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Baltzer Science Publishers Country of Publication: Netherlands NLM ID: 9815649 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1572-9389 (Electronic) Linking ISSN: 13869620 NLM ISO Abbreviation: Health Care Manag Sci Subsets: MEDLINE

Výrazy ze slovníku MeSH: Stochastic Processes* , Resource Allocation*/methods, Humans ; Monte Carlo Method ; Waiting Lists ; Efficiency, Organizational ; Ambulatory Care/organization & administration ; Programming, Linear ; Time Factors ; Health Care Rationing/organization & administration

Comparison of Two Convergence Criterion in the Optimization Process Using a Recursive Method in a Multi-Reservoir System.

Autoři: Mendoza-Ramírez, Rosalva Silva, Rodolfo Domínguez-Mora, Ramón a další

Zdroj: Water (20734441); Oct2022, Vol. 14 Issue 19, p2952-2952, 14p

Témata: DYNAMIC programming, STOCHASTIC programming, MATHEMATICAL optimization, TIME management

Geografický termín: MEXICO