Approximate dynamic programming for ambulance redeployment
pdf
M.S. Maxwell, M. Restrepo, S.G. Henderson & H. Topaloglu, INFORMS Journal on Computing, forthcoming.
A stochastic approximation method with max-norm projections and its applications to the Q-Learning algorithm
pdf
S. Kunnumkal & H. Topaloglu, The ACM Transactions on Modeling and Computer Simulation, forthcoming.
A stochastic approximation method for the single-leg revenue management problem with discrete demand distributions
pdf
S. Kunnumkal & H. Topaloglu, Mathematical Methods of Operations Research, forthcoming. (The original publication is available at www.springerlink.com.)
A tighter variant of Jensen's lower bound for stochastic programs and separable approximations to recourse functions
pdf
H. Topaloglu, European Journal of Operational Research, forthcoming.
Computing protection level policies for dynamic capacity allocation problems by using stochastic approximation methods
pdf
A. Erdelyi & H. Topaloglu, IIE Transactions, forthcoming.
Erlang loss models for the static deployment of ambulances
pdf
M. Restrepo, S.G. Henderson & H. Topaloglu, Health Care Management Science, forthcoming.
Using Lagrangian relaxation to compute capacity-dependent bid prices
in network revenue management
pdf
H. Topaloglu, Operations Research, forthcoming.
On the asymptotic optimality of the randomized linear program for network revenue management
pdf
H. Topaloglu, European Journal of Operational Research, Special Issue on Pricing and Revenue Management, forthcoming.
Separable approximations for joint capacity control and overbooking decisions in network revenue management
pdf
A. Erdelyi & H. Topaloglu, Journal of Revenue and Pricing Management, 8, 3-20, 2009.
A duality-based relaxation and decomposition approach for inventory distribution systems
pdf
S. Kunnumkal & H. Topaloglu, Naval Research Logistics, 55, 612-631, 2008.
A refined deterministic linear program for the network revenue management problem with customer choice behavior
pdf
S. Kunnumkal & H. Topaloglu, Naval Research Logistics, 55, 563-580, 2008.
A stochastic approximation method to compute bid prices in network revenue management problems
pdf
H. Topaloglu, INFORMS Journal on Computing, 20, 596-610, 2008.
Using stochastic approximation methods to compute optimal base-stock levels in inventory inventory control problems
pdf
S. Kunnumkal & H. Topaloglu, Operations Research, 56, 646-664, 2008.
Exploiting the structural properties of the underlying Markov decision
problem in Q-learning algorithm pdf
S. Kunnumkal & H. Topaloglu, INFORMS Journal on Computing, 20, 288-301, 2008.
Price discounts in exchange for reduced customer demand variability
and applications to advance demand information acquisition pdf
S. Kunnumkal & H. Topaloglu, International Journal of Production Economics, 111, 543-561, 2008.
Incorporating pricing decisions into the stochastic dynamic fleet
management problem pdf
H. Topaloglu & W.B. Powell, Transportation Science, 41, 281-301, 2007.
Incorporating the pricing decisions into dynamic fleet management
models pdf
G.J. King & H. Topaloglu, Journal of the Operational Research
Society, 58, 1064-1074, 2007.
Sensitivity analysis of a dynamic fleet management model using approximate
dynamic programming pdf H. Topaloglu & W.B. Powell, Operations Research, 55, 319-331, 2007.
Approximate dynamic programming methods for an inventory allocation
problem under uncertainty pdf
H. Topaloglu & S. Kunnumkal, Naval Research Logistics, 53, 822-841, 2006.
A parallelizable dynamic fleet management model with random travel
times pdf
H. Topaloglu, European Journal of Operational Research, 175, 782-805, 2006.
Dynamic programming approximations for stochastic, time-staged
integer multicommodity flow problems pdf
H. Topaloglu & W.B. Powell, INFORMS Journal on Computing, 18,
31-42, 2006.
An approximate dynamic programming approach for a product distribution
problem pdf
H. Topaloglu, IIE Transactions, 37, 697-710, 2005.
A distributed decision making structure for dynamic resource allocation
using nonlinear functional approximations pdf
H. Topaloglu & W.B. Powell, Operations Research, 53, 281-297,
2005.
Learning algorithms for separable approximations of discrete stochastic
optimization problems pdf
W.B. Powell, A. Ruszczynski & H. Topaloglu, Mathematics of Operations
Research, 29, 814-836, 2004.
An algorithm for approximating piecewise linear concave functions
from sample gradients pdf
H. Topaloglu & W.B. Powell, Operations Research Letters, 31,
66-76, 2003.
Book Chapters
A parallelizable and approximate dynamic programming-based dynamic
fleet management model with random travel times and multiple vehicle types
pdf
H. Topaloglu, in Dynamic Fleet Management: Concepts, Systems, Algorithms and Case Studies,
V.S. Zeimpekis, G.M. Giaglis, C.D. Tarantilis & I. Minis, eds., forthcoming.
Approximate dynamic programming for large-scale resource allocation problems
pdfdraft long version
W.B. Powell & H. Topaloglu, in TutORials in Operations Research,
M.P. Johnson, B. Norman & N. Secomandi, eds., 2006.
Fleet management pdf
W.B. Powell & H. Topaloglu, in Applications of Stochastic Programming,
Math Programming Society – SIAM Series in Optimization, S. Wallace
& W. Ziemba, eds., 2005.
Stochastic programming in transportation and logistics
pdf
W.B. Powell & H. Topaloglu, in Handbooks in Operations Research
and Management Science, volume on Stochastic Programming, A.
Shapiro & A. Ruszczynski, eds., 2003.
Work-in-Progress
Computing time-dependent bid-prices in network revenue management problems
pdf
H. Topaloglu & S. Kunnumkal.
A new dynamic programming decomposition method for the network revenue management problem with customer choice behavior
pdf
S. Kunnumkal & H. Topaloglu.
Cargo capacity management with allotments and spot market demand
pdf
Y. Levin, M. Nediak & H. Topaloglu.
A dynamic programming decomposition method for making overbooking decisions over an airline network
pdf
A. Erdelyi & H. Topaloglu.
Linear programming based decomposition methods for inventory distribution systems
pdf
S. Kunnumkal & H. Topaloglu.
A tractable revenue management model for capacity allocation and overbooking over an airline network
pdf
S. Kunnumkal & H. Topaloglu.
A stochastic approximation algorithm to compute bid prices for joint capacity allocation and overbooking over an airline network
pdf
S. Kunnumkal & H. Topaloglu.