Relevant bibliographies by topics / Optimization scenario

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Optimization scenario'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Optimization scenario"

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Dembo, Ron S. "Scenario optimization." Annals of Operations Research 30, no. 1 (1991): 63–80. http://dx.doi.org/10.1007/bf02204809.

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Ryan, Kevin, Shabbir Ahmed, Santanu S. Dey, Deepak Rajan, Amelia Musselman, and Jean-Paul Watson. "Optimization-Driven Scenario Grouping." INFORMS Journal on Computing 32, no. 3 (2020): 805–21. http://dx.doi.org/10.1287/ijoc.2019.0924.

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Scenario decomposition algorithms for stochastic programs compute bounds by dualizing all nonanticipativity constraints and solving individual scenario problems independently. We develop an approach that improves on these bounds by reinforcing a carefully chosen subset of nonanticipativity constraints, effectively placing scenarios into groups. Specifically, we formulate an optimization problem for grouping scenarios that aims to improve the bound by optimizing a proxy metric based on information obtained from evaluating a subset of candidate feasible solutions. We show that the proposed group
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Vonk, E., Y. P. Xu, M. J. Booij, and D. C. M. Augustijn. "Quantifying the robustness of optimal reservoir operation for the Xinanjiang-Fuchunjiang Reservoir Cascade." Water Supply 16, no. 1 (2015): 79–86. http://dx.doi.org/10.2166/ws.2015.116.

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In this research we investigate the robustness of the common implicit stochastic optimization (ISO) method for dam reoperation. As a case study, we focus on the Xinanjiang-Fuchunjiang reservoir cascade in eastern China, for which adapted operating rules were proposed as a means to reduce the impact of climate change and socio-economic developments. The optimizations were based on five different water supply and demand scenarios for the future period from 2011 to 2040. Main uncertainties in the optimization can be traced back to correctness of the assumed supply and demand scenarios and the qua
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Qian, Xinbo, Qiuhua Tang, and Bo Tao. "A Novel Scenario Reduction Method by 3D-Outputs Clustering for Condition-Based Maintenance Optimization." International Journal of Reliability, Quality and Safety Engineering 24, no. 04 (2017): 1750018. http://dx.doi.org/10.1142/s0218539317500188.

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Condition-based maintenance (CBM) optimization involves considering inherent uncertainties and external uncertainties. Since computational complexity increases exponentially with the number of degradation uncertainties and stages, scenario reduction aims to select small set of typical scenarios which can maintain the probability distributions of outputs of possible scenarios. A novel scenario reduction method, 3D-outputs-clustering scenario reduction (3DOCS), is presented by considering the impacts of uncertainty parameters on the output performance for CBM optimization which have been overloo
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Wang, Yishen, Yuzong Liu, and Daniel S. Kirschen. "Scenario Reduction With Submodular Optimization." IEEE Transactions on Power Systems 32, no. 3 (2017): 2479–80. http://dx.doi.org/10.1109/tpwrs.2016.2603448.

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Campi, M. C., and S. Garatti. "Wait-and-judge scenario optimization." Mathematical Programming 167, no. 1 (2016): 155–89. http://dx.doi.org/10.1007/s10107-016-1056-9.

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Luo, Li Zhe, Xue Hong Yang, Wen Zhen Yu, and Shao Hua Pan. "Diversion System Scenarios Optimization Considering Indicators Correlation." Advanced Materials Research 1065-1069 (December 2014): 2554–60. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.2554.

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The decision-making indicators of hydropower engineering diversion scenario are always related with diversion risk, and for determining the optimal scenario, correlation analysis and decoupling for indicators is the key problem. Using k-additive fuzzy measure to characterize and decouple the relevance of indicators on the base of the analysis and quantization of indicators, and determining the weights of indicators according to maximum fuzzy measure entropy principle, finally the synthetic appraisal value for diversion scenarios can be calculated with choquet integral to rank and select optima
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Kwon, Soon Ho, Donghwi Jung, and Joong Hoon Kim. "Development of a Multiscenario Planning Approach for Urban Drainage Systems." Applied Sciences 10, no. 5 (2020): 1834. http://dx.doi.org/10.3390/app10051834.

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A traditional urban drainage system (UDS) planning approach generally considers the most probable future rainfall scenario. However, this single scenario (i.e., scenario-optimal) planning approach is prone to failure under recent climatic conditions, which involve increasing levels of uncertainty. To overcome this limitation, an alternative is to consider multiple scenarios simultaneously. A two-phase multi-scenario-based UDS planning approach was developed. Scenario-optimal solutions were determined for a set of scenarios in Phase I, as the traditional planning approach, while common elements
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Sales, Agust, Duberlí Geomar Elera Gonzáles, Thales Guilherme Vaz Martins, et al. "Optimization of Skid Trails and Log Yards on the Amazon Forest." Forests 10, no. 3 (2019): 252. http://dx.doi.org/10.3390/f10030252.

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Research highlights: We used Dijkstra Algorithm (DA) to define optimal allocation of yards in order to minimize total skid-trail’s distance in the Amazon Forest. DA minimized trails’ distances and associated transportation costs, leading to an even smaller value when the current planning was disregarded and suggesting the reduction of deleterious environmental externalities. Background and objectives: We sought to answer if it is possible to optimize distances and intrinsic costs in the management of Amazonian forests using DA. The objective was to minimize skid trails distances by best alloca
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Jiang, Honglei, Xia Xu, Lingfei Wang, and Tong Zhang. "Integrating Ecosystem Service Values and Economic Benefits for Sustainable Land Use Management in Semi-Arid Regions in Northern China." Sustainability 13, no. 18 (2021): 10431. http://dx.doi.org/10.3390/su131810431.

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Studies on land use structural optimization can support the sustainability of land resources. The Taipusi Banner lies in the arid and semiarid area of northern China, with rapid economic development and a vulnerable ecological condition. Taking the Taipusi Banner as a research case, we adopted a land use map and statistical data, and employed the ecosystem process model to establish five scenarios, including an economically optimal scenario, an ecologically optimal scenario, a comprehensively optimal scenario, a status quo, and a projected scenario. Based on multi-objective linear programming,
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Dissertations / Theses on the topic "Optimization scenario"

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Geyer, Alois, Michael Hanke, and Alex Weissensteiner. "Scenario Tree Generation and Multi-Asset Financial Optimization Problems." Elsevier, 2013. http://dx.doi.org/10.1016/j.orl.2013.06.003.

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We compare two popular scenario tree generation methods in the context of financial optimization: Moment matching and scenario reduction. Using a simple problem with a known analytic solution, we find that moment matching - accompanied by a check to ensure absence of arbitrage opportunities - replicates this solution precisely. On the other hand, even if the scenario trees generated by scenario reduction are arbitrage-free, the solutions to the approximate optimization problem represented by the reduced tree are biased and highly variable. These results hold for correlated and uncorrelate
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Cuadrado, Guevara Marlyn Dayana. "Multistage scenario trees generation for renewable energy systems optimization." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/670251.

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The presence of renewables in energy systems optimization have generated a high level of uncertainty in the data, which has led to a need for applying stochastic optimization to modelling problems with this characteristic. The method followed in this thesis is multistage Stochastic Programming (MSP). Central to MSP is the idea of representing uncertainty (which, in this case, is modelled with a stochastic process) using scenario trees. In this thesis, we developed a methodology that starts with available historical data; generates a set of scenarios for each random variable of the MSP model; d
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Opwonya, Nokrach Basil. "Maintaining optimal measures of effectiveness by scenario requirements optimization." Thesis, KTH, Aerodynamik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-163916.

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This thesis proposes a solution on how to manage support resources in such a way that optimized Measures of Effectiveness (MOE), such as Availability and Number of Backorders, are kept within a specified range without incurring the full scale re-optimizations in OPUS10 with every change in operative scenario. This has previously been experienced by FMV. The hypothesis in this study is that the different risks inherent in the different scenarios are the causes of the changes in the MOE. Therefore by capturing the risks involved and treating those risks, it is possible to preempt the risks devel
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Löhndorf, Nils. "An empirical analysis of scenario generation methods for stochastic optimization." Elsevier, 2016. http://dx.doi.org/10.1016/j.ejor.2016.05.021.

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This work presents an empirical analysis of popular scenario generation methods for stochastic optimization, including quasi-Monte Carlo, moment matching, and methods based on probability metrics, as well as a new method referred to as Voronoi cell sampling. Solution quality is assessed by measuring the error that arises from using scenarios to solve a multi-dimensional newsvendor problem, for which analytical solutions are available. In addition to the expected value, the work also studies scenario quality when minimizing the expected shortfall using the conditional value-at-risk. To quickly
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Tracy, Jacob N. "Reduced-Dimension Groundwater Model Emulation for Scenario Analysis and Decision Support." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1573574885505114.

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Guertin, Jane. "Practical example of developing and implementing an optimization & scenario planning tool." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90784.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.<br>Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2014. In conjunction with the Leaders for Global Operations Program at MIT.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 64-65).<br>There is significant complexity facing the Global Footwear Planning team when sourcing production, especially for sandals. The challenges include increasing manufacturing costs coup
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Hallin, Sara. "Modeling of Life-Limited Spare Units in a Steady-State Scenario." Thesis, KTH, Optimeringslära och systemteori, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168567.

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This thesis studies the problem of modeling life-limited spare units in a steady-state scenario. This means that units that have a predefined lifespan are to be modeled in a scenario where all conditions are kept constant and all transients have faded out. OPUS10 is a spare parts optimization software developed by Systecon AB. There is no way to explicitly model the life-limited units in OPUS10, although there are different approximate models that are built on adjustments of the failure rate and repair fraction or the definition of preventive maintenance. The objective of this thesis is to ana
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Celebi, Nuray. "Public Debt Management In Turkey With Stochastic Optimization Approach." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/3/12607050/index.pdf.

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The Prime Ministry of Undersecretariat of Treasury maintaining the financial administration of Republic of Turkey has several tasks to handle one of which is to manage the government&rsquo<br>s debt in a way that minimizes the cost regarding risk. Choosing the right instrument and maturity composition that has the least cost and risk is the debt management problem to be dealt with and is affected by many stochastic factors. The objective of this thesis is the optimization of the debt management problem of the Turkish Government via a stochastic simulation framework under the constraints of cha
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Suharko, Arief Bimantoro. "Tactical Network Flow and Discrete Optimization Models and Algorithms for the Empty Railcar Transportation Problem." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/26405.

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Prior to 1980, the practice in multilevel autorack management was to load the railcars at various origin points, ship them to the destination ramps, unload them, and then return each car to the loading point where it originated. Recognizing the inefficiency of such a practice with respect to the fleet size that had to be maintained, and the associated poor utilization due to the excessive empty miles logged, a consolidation of the railcars was initiated and completed by February 1982. Under this pooling program, a central management was established to control the repositioning of three types o
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Stix, Volker. "Stochastic branch & bound applying target oriented branch & bound method to optimal scenario tree reduction." Institut für Informationsverarbeitung und Informationswirtschaft, WU Vienna University of Economics and Business, 2002. http://epub.wu.ac.at/1212/1/document.pdf.

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In this article a new branch & bound method is described. It uses an artificial target to improve its bounding capabilities. Therefore the new approach is faster compared to the classical one. It is applied to the stochastic problem of optimal scenario tree reduction. The aspects of global optimization are emphasized here. All necessary components for that problem are developed and some experimental results underline the benefits of the new approach. (author's abstract)<br>Series: Working Papers on Information Systems, Information Business and Operations
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Books on the topic "Optimization scenario"

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Gilyard, Glenn B. In-flight transport performance optimization: An experimental flight research program and an operational scenario. National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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Gilyard, Glenn B. In-flight transport performance optimization: An experimental flight research program and an operational scenario. National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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Solojentsev, E. D. Scenario Logic and Probabilistic Management of Risk in Business and Engineering (Applied Optimization). Springer, 2004.

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NASA Dryden Flight Research Center., ed. In-flight transport performance optimization: An experimental flight research program and an operational scenario. National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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NASA Dryden Flight Research Center., ed. In-flight transport performance optimization: An experimental flight research program and an operational scenario. National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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In-flight transport performance optimization: An experimental flight research program and an operational scenario. National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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Robust Multi-Scenario Optimization of an Air Expeditionary Force Force Structure Applying Scatter Search to the Combat Forces Assessment Model. Storming Media, 2001.

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Robust Multi-Scenario Optimization of an Air Expeditionary Force Force Structure Applying Genetic Algorithms to the Combat Forces Assessment Model. Storming Media, 2000.

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Railsback, Steven F., and Bret C. Harvey. Modeling Populations of Adaptive Individuals. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691195285.001.0001.

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Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach t
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Jeffrey, Waincymer. Part IX Costs, Funding, and Ideas for Optimization, 28 Optimizing the use of Mediation in International Arbitration: A Cost–Benefit Analysis of ‘Two Hat’ Versus ‘Two People’ Models. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198783206.003.0029.

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This chapter considers the question of whether an arbitrator may also adopt a mediation function or whether the dual roles are antithetical. It tests that hypothesis by engaging in a cost-benefit analysis of differing scenarios when mediation is utilized in an arbitral context. The prime comparison is between parallel mediation with a separate neutral and the alternative of a dual-role neutral. The three key points are: there should be much more mediation occurring at the international level, regarding both potential and actual arbitral disputes; a commercially minded arbitrator concerned for
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Book chapters on the topic "Optimization scenario"

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Levy, Adam B. "Scenario Analysis." In SpringerBriefs in Optimization. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4642-2_3.

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Brauers, Willem K. "Scenario Writing." In Nonconvex Optimization and Its Applications. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9178-2_6.

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Campi, Marco C., Simone Garatti, and Maria Prandini. "Scenario Optimization for MPC." In Handbook of Model Predictive Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77489-3_19.

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Rustem, Berc, and Reuben Settergren. "Scenario Specification for Robust Portfolio Analysis." In Applied Optimization. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3613-7_5.

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Abdallah, Rouwaida, Arnaud Gotlieb, Loïc Hélouët, and Claude Jard. "Scenario Realizability with Constraint Optimization." In Fundamental Approaches to Software Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37057-1_14.

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Dmitrienko, Alex, and Gautier Paux. "Clinical Scenario Evaluation and Clinical Trial Optimization." In Clinical Trial Optimization Using R. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315120836-1.

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Spangler, Manuela. "Model Calibration and Scenario Generation." In Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-23915-2_5.

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Chaovalitwongse, Paveena, H. Edwin Romeijn, and Panos M. Pardalos. "A Scenario-Based Heuristic for a Capacitated Transportation-Inventory Problem with Stochastic Demands." In Applied Optimization. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3613-7_12.

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Löwe, Welf, and Markus Noga. "Scenario-Based Connector Optimization An XML Approach." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45440-3_12.

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Galuzzi, Bruno G., Enza Messina, Antonio Candelieri, and Francesco Archetti. "Optimal Scenario-Tree Selection for Multistage Stochastic Programming." In Machine Learning, Optimization, and Data Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64583-0_31.

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Conference papers on the topic "Optimization scenario"

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Liao, Tianjun, and Thomas Stützle. "Expensive optimization scenario." In Proceeding of the fifteenth annual conference companion. ACM Press, 2013. http://dx.doi.org/10.1145/2464576.2482697.

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Nikolov, Vladimir, and Anatolii Antonov. "Scenario based portfolio optimization." In the conference. ACM Press, 2000. http://dx.doi.org/10.1145/365143.365570.

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Formentin, Simone, Simone Garatti, Marco C. Campi, and Sergio M. Savaresi. "Tuning regularization via scenario optimization." In 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE, 2017. http://dx.doi.org/10.1109/cdc.2017.8263732.

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Nguyen, Giang P., and Marcel Worring. "Scenario optimization for interactive category search." In the 7th ACM SIGMM international workshop. ACM Press, 2005. http://dx.doi.org/10.1145/1101826.1101853.

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Goodwin, Graham C., Mauricio G. Cea, Hal J. Cooper, and Arie Feuer. "The scenario approach to stochastic optimization." In 2011 9th IEEE International Conference on Control and Automation (ICCA). IEEE, 2011. http://dx.doi.org/10.1109/icca.2011.6138102.

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Goh, Shen-Tat, Shudong Liu, Tracy Yong, and Eric Foo. "Scenario Analysis with Facility Location Optimization." In TENCON 2018 - 2018 IEEE Region 10 Conference. IEEE, 2018. http://dx.doi.org/10.1109/tencon.2018.8650398.

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Monteiro, E., R. De Almeida, A. Rouboa, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Initial Conditions Optimization in Casting Scenario." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790233.

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Mars, Jason, and Robert Hundt. "Scenario Based Optimization: A Framework for Statically Enabling Online Optimizations." In 2009 7th Annual IEEE/ACM International Symposium on Code Generation and Optimization (CGO). IEEE, 2009. http://dx.doi.org/10.1109/cgo.2009.24.

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Sahu, Bikash Kumar, and Subrat Kumar Kabi. "Current smart grid scenario in India." In 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO). IEEE, 2015. http://dx.doi.org/10.1109/eesco.2015.7253771.

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Stefanov, Predrag, Aleksandar Savic, and Goran Dobric. "Power system optimization using parallel scenario algorithm." In 2014 IEEE International Energy Conference (ENERGYCON). IEEE, 2014. http://dx.doi.org/10.1109/energycon.2014.6850445.

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Reports on the topic "Optimization scenario"

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Wiecek, Margaret M., Vijay Singh, and Vincent Blouin. Multi-Scenario Multi-Criteria Optimization in Engineering Design. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada462600.

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Mehrotra, Sanjay. Final Technical Report: Sparse Grid Scenario Generation and Interior Algorithms for Stochastic Optimization in a Parallel Computing Environment. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1321178.

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La Haye, Robert. National Spherical Torus Experiment Upgrade Collaborative Research on Configuration Optimization of Advanced Operating Scenarios and Control Including Macroscopy Stability EOG for Period 3/1/14 through 2/28/18. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1439061.

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