Suchergebnisse - "stochastic integer programming"

A multi-stage stochastic integer programming approach for locating electric vehicle charging stations von Kadri, Ahmed Abdelmoumene, Perrouault, Romain, Boujelben, Mouna Kchaou, Gicquel, Céline

“… Electric vehicles (EVs) represent one of the promising solutions to face environmental and energy concerns in transportation. Due to the limited range of EVs, …”
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Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals von Gunpinar, Serkan, Centeno, Grisselle

“… Major challenges in the management of the blood supply chain are related to the shortage and wastage of the blood products. Given the perishable …”
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A study of progressive hedging for stochastic integer programming von Christiansen, Jeffrey, Dandurand, Brian, Eberhard, Andrew, Oliveira, Fabricio

“… Motivated by recent literature demonstrating the surprising effectiveness of the heuristic application of progressive hedging (PH) to stochastic mixed-integer …”
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Platelet ordering policies at hospitals using stochastic integer programming model and heuristic approaches to reduce wastage von Rajendran, Suchithra, Ravindran, A. Ravi

“… •Stochastic integer programming model is developed to determine ordering policy.•Model is computationally complex and hence three heuristic policies are proposed …”
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A multi-stage stochastic integer programming approach for a multi-echelon lot-sizing problem with returns and lost sales von Quezada, Franco, Gicquel, Céline, Kedad-Sidhoum, Safia, Vu, Dong Quan

“… •We study a multi-echelon stochastic lot-sizing problem within remanufacturing environment.•It is modelled as a multi-stage stochastic integer program and …”
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Valuing portfolios of interdependent real options using influence diagrams and simulation-and-regression: A multi-stage stochastic integer programming approach von Maier, Sebastian, Polak, John W., Gann, David M.

“… •Introduces a valuation approach for portfolios of interdependent real options.•Uses influence diagrams to graphically model interdependencies between real …”
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A new risk-based optimisation method for the iron ore production scheduling using stochastic integer programming von Mai, Ngoc Luan, Topal, Erkan, Erten, Oktay, Sommerville, Bruce

“… Stochastic integer programming (SIP) has recently been studied to manage the risk caused by geological uncertainty when solving mine planning and production scheduling problems of open pit mines …”
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Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming von Tan, Xavier, Ng, Wei Chong, Lim, Wei Yang Bryan, Xiong, Zehui, Niyato, Dusit, Yu, Han

“… Federated Learning(FL) has attracted wide research interest due to its potential in building machine learning models while preserving users' data privacy …”
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Optimizing Technician Staffing and Scheduling in Medical Procedure Services Using Two-Stage Stochastic Integer Programming von Zhang, Mirui, Shahraki, Narges, Wang, Feifan

“… Technicians in medical procedure services are essential for ensuring smooth procedures. Widely seen in procedure rooms and operating rooms, fixed work shifts …”
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Stochastic integer programming for multi-disciplinary outpatient clinic planning von Leeftink, A. G., Vliegen, I. M. H., Hans, E. W.

“… Scheduling appointments in a multi-disciplinary clinic is complex, since coordination between disciplines is required. The design of a blueprint schedule for a …”
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A stochastic integer programming approach to reserve staff scheduling with preferences von Perreault‐Lafleur, Carl, Carvalho, Margarida, Desaulniers, Guy

“… Nowadays, reaching a high level of employee satisfaction in efficient schedules is an important and difficult task faced by companies. We tackle a new variant …”
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Chemotherapy appointment scheduling under uncertainty using mean-risk stochastic integer programming von Alvarado, Michelle, Ntaimo, Lewis

“… In this paper, we develop three mean-risk stochastic integer programming …”
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On parallelizing dual decomposition in stochastic integer programming von Lubin, Miles, Martin, Kipp, Petra, Cosmin G., Sandıkçı, Burhaneddin

“… For stochastic mixed-integer programs, we revisit the dual decomposition algorithm of Carøe and Schultz from a computational perspective with the aim of its …”
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Inexact multistage stochastic integer programming for water resources management under uncertainty von Li, Y.P., Huang, G.H., Nie, S.L., Liu, L.

“… In this study, an inexact multistage stochastic integer programming (IMSIP) method is developed for water resources management under uncertainty …”
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Simulation and Stochastic Integer Programming Approach to Wildfire Initial Attack Planning von Ntaimo, Lewis, Gallego-Arrubla, Julian A, Gan, Jianbang, Stripling, Curt, Young, Joshua, Spencer, Thomas

“… To address the deployment and dispatch problem, we combine fire behavior simulation and a two-stage stochastic integer programming model called the explicit fire growth response model (EFGRM …”
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Interval Two-Stage Stochastic Integer Programming for Urban Water Resource Management under Uncertainty von Mo, Shuhong, Duan, Haini, Shen, Bing, Wang, Dingbao

“… Mo, S.; Duan, H.; Shen, B., and Wang, D., 2015. Interval two-stage stochastic integer programming for urban water resources management under uncertainty …”
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Wildfire initial response planning using probabilistically constrained stochastic integer programming von Gallego Arrubla, Julián A, Ntaimo, Lewis, Stripling, Curt

“… This approach combines a fire behaviour simulation, a wildfire risk model and a probabilistically constrained stochastic integer programming model, and takes into account the level of risk …”
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Dual decomposition in stochastic integer programming von Carøe, Claus C., Schultz, Rüdiger

“… We present an algorithm for solving stochastic integer programming problems with recourse, based on a dual decomposition scheme and Lagrangian relaxation …”
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A Multi-Stage Stochastic Integer Programming Approach for Capacity Expansion under Uncertainty von Ahmed, Shabbir, King, Alan J., Parija, Gyana

“… -stage stochastic integer programming formulation for the problem. A reformulation of the problem is proposed using variable disaggregation to exploit the lot-sizing substructure of the problem …”
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Approximation in two-stage stochastic integer programming von Romeijnders, Ward, Stougie, Leen, van der Vlerk, Maarten H.

“… Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most …”
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