Results 11 to 20 of about 256,176 (302)
Stochastic Integer Programming. [PDF]
Handbooks in Operations Research and Management Science, 2003 When introducing integer variables into traditional linear stochastic programs structural properties and algorithmic approaches have to be rethought from the very beginning. Employing basics from parametric integer programming and probability theory we analyse the structure of stochastic integer programs.
Louveaux, François, Schultz, Ruediger
exaly +6 more sources
Multistage Stochastic Unit Commitment Using Stochastic Dual Dynamic Integer Programming
IEEE Transactions on Power Systems, 2019 Unit commitment (UC) is a key operational problem in power systems for the optimal schedule of daily generation commitment. Incorporating uncertainty in this already difficult mixed-integer optimization problem introduces significant computational ...
Jikai Zou, Shabbir Ahmed, X. Sun
semanticscholar +3 more sources
Nonconvex Medium-Term Hydropower Scheduling by Stochastic Dual Dynamic Integer Programming
IEEE Transactions on Sustainable Energy, 2019 Hydropower producers rely on stochastic optimization when scheduling their resources over long periods of time. Due to its computational complexity, the optimization problem is normally cast as a stochastic linear program.
M. N. Hjelmeland +3 more
semanticscholar +3 more sources
Green closed-loop supply chain network design considering cost control and CO2 emission [PDF]
Modern Supply Chain Research and Applications, 2020 Purpose – Environmental issues have become an important concern in modern supply chain management. The structure of closed-loop supply chain (CLSC) networks, which considers both forward and reverse logistics, can greatly improve the utilization of ...
Lufei Huang, Liwen Murong, Wencheng Wang
doaj +1 more source
A chance-constrained stochastic approach to intermodal container routing problems. [PDF]
PLoS ONE, 2018 We consider a container routing problem with stochastic time variables in a sea-rail intermodal transportation system. The problem is formulated as a binary integer chance-constrained programming model including stochastic travel times and stochastic ...
Yi Zhao +3 more
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A Weighted Robust Two-Stage Stochastic Optimization Model for Supplier Selection and Order Allocation under Uncertainty [PDF]
چشمانداز مدیریت صنعتی, 2020 This paper presents an integrated model as a combination of fuzzy analytical hierarchy process (FAHP), scenario-based two-stage stochastic programming and robust optimization approaches for the problem of supplier selection and order allocation under ...
Mostafa Jokar +2 more
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Stochastic Integer Programming [PDF]
, 1988 No abstract.
Rinnooy Kan, A.H.G., Stougie, L.
openaire +3 more sources
Energies, 2020 The purpose of this paper is to apply multistage stochastic programming to the transmission line expansion planning problem, especially when uncertain demand scenarios exist. Since the problem of transmission line expansion planning requires an intensive
Sini Han, Hyeon-Jin Kim, Duehee Lee
doaj +1 more source
Computers & Operations Research, 2020 Electric vehicles (EVs) represent one of the promising solutions to face environmental and energy concerns in transportation. Due to the limited range of EVs, deploying a charging infrastructure enabling EV drivers to carry out long distance trips is a ...
A. Kadri +3 more
semanticscholar +1 more source
Tie‐line planning for resilience enhancement in unbalanced distribution networks
IET Generation, Transmission & Distribution, 2022 Over the past decades, there has been a dramatic increase in the frequency of natural disasters, which are the leading causes of large‐scale power outages.
Babak Taheri, Amir Safdarian
doaj +1 more source