Browsing by Keywords "Stochastic programming"
Now showing items 1-10 of 10
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A Benders decomposition approach for the charging station location problem with plug-in hybrid electric vehicles
(Elsevier, 2016)The flow refueling location problem (FRLP) locates p stations in order to maximize the flow volume that can be accommodated in a road network respecting the range limitations of the vehicles. This paper introduces the ... -
Bounds on risk-averse mixed-integer multi-stage stochastic programming problems with mean-CVaR
(Elsevier B.V., 2018)Risk-averse mixed-integer multi-stage stochastic programming forms a class of extremely challenging problems since the problem size grows exponentially with the number of stages, the problem is non-convex due to integrality ... -
A capacitated hub location problem under hose demand uncertainty
(Elsevier, 2017)In this study, we consider a capacitated multiple allocation hub location problem with hose demand uncertainty. Since the routing cost is a function of demand and capacity constraints are imposed on hubs, demand uncertainty ... -
Gain-loss pricing under ambiguity of measure
(E D P Sciences, 2010)Motivated by the observation that the gain-loss criterion, while offering economically meaningful prices of contingent claims, is sensitive to the reference measure governing the underlying stock price process (a situation ... -
A multi-stage stochastic programming approach in master production scheduling
(Elsevier, 2011)Master Production Schedules (MPS) are widely used in industry, especially within Enterprise Resource Planning (ERP) software. The classical approach for generating MPS assumes infinite capacity, fixed processing times, and ... -
Optimizing airline operations under uncertainty
(Bilkent University, 2019-06)Fluctuations in passenger demand, airport congestion, and high fuel costs are the main threats to airlines' profit, thereby need to be carefully addressed in airline scheduling problems. This study takes an advantage of ... -
Robust scenario optimization based on downside-risk measure for multi-period portfolio selection
(Springer, 2007)We develop and test multistage portfolio selection models maximizing expected end-of-horizon wealth while minimizing one-sided deviation from a target wealth level. The trade-off between two objectives is controlled by ... -
A two-stage decision dependent stochastic approach for airline flight network expansion
(Elsevier Ltd, 2022-02-28)Airlines need to expand their flight networks with developing new routes and introducing more flights to increase their market share. In this work, we propose a two-stage stochastic mixed integer nonlinear program (MINLP), ... -
A two-stage stochastic programming approach for reliability constrained power system expansion planning
(Elsevier, 2018)Probabilistic realizations of outages and their effects on the operational costs are highly overlooked aspects in power system expansion planning. Since the effect of randomness in contingencies can be more prominent ... -
The value of multi-stage stochastic programming in risk-averse unit commitment under uncertainty
(IEEE, 2019)Day-ahead scheduling of electricity generation or unit commitment is an important and challenging optimization problem in power systems. Variability in net load arising from the increasing penetration of renewable technologies ...
