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Journal Articles
- 2024
[j48]E. Ruben van Beesten
, Ward Romeijnders, David P. Morton:
Pragmatic Distributionally Robust Optimization for Simple Integer Recourse Models. SIAM J. Optim. 34(2): 1755-1783 (2024)- 2022
- [j47]Tito Homem-de-Mello, Milos Kopa, David P. Morton:
Special Issue: Topics in Stochastic Programming. Math. Program. 191(1): 1-5 (2022) - [j46]Haoxiang Yang, David P. Morton:
Optimal crashing of an activity network with disruptions. Math. Program. 194(1): 1113-1162 (2022) - [j45]Oscar Dowson, David P. Morton, Anthony Downward:
Bi-objective multistage stochastic linear programming. Math. Program. 196(1): 907-933 (2022) - [j44]Gökçe Kahvecioglu, David P. Morton:
Optimal hierarchical clustering on a graph. Networks 79(2): 143-163 (2022) - [j43]Daniel Duque, Sanjay Mehrotra, David P. Morton:
Distributionally Robust Two-Stage Stochastic Programming. SIAM J. Optim. 32(3): 1499-1522 (2022) - 2021
- [j42]Jacob Mays, David P. Morton, Richard P. O'Neill:
Investment effects of pricing schemes for non-convex markets. Eur. J. Oper. Res. 289(2): 712-726 (2021) - [j41]Haoxiang Yang, David P. Morton, Chaithanya Bandi, Krishnamurthy Dvijotham:
Robust Optimization for Electricity Generation. INFORMS J. Comput. 33(1): 336-351 (2021) - [j40]Alexander J. Zolan, Michael S. Scioletti, David P. Morton, Alexandra M. Newman:
Decomposing Loosely Coupled Mixed-Integer Programs for Optimal Microgrid Design. INFORMS J. Comput. 33(4): 1300-1319 (2021) - 2020
- [j39]Oscar Dowson, David P. Morton, Bernardo K. Pagnoncelli:
Partially observable multistage stochastic programming. Oper. Res. Lett. 48(4): 505-512 (2020) - [j38]Daniel Duque, David P. Morton:
Distributionally Robust Stochastic Dual Dynamic Programming. SIAM J. Optim. 30(4): 2841-2865 (2020) - 2019
- [j37]Christopher Richards, Christopher Odom, David P. Morton, Alexandra M. Newman:
Minimum-risk routing through a mapped minefield. Networks 73(3): 358-376 (2019) - 2018
- [j36]David P. Morton, Ward Romeijnders, Rüdiger Schultz, Leen Stougie:
The stochastic programming heritage of Maarten van der Vlerk. Comput. Manag. Sci. 15(3-4): 319-323 (2018) - [j35]Bismark Singh, David P. Morton, Surya Santoso:
An adaptive model with joint chance constraints for a hybrid wind-conventional generator system. Comput. Manag. Sci. 15(3-4): 563-582 (2018) - [j34]Jing Zan, John J. Hasenbein, David P. Morton, Vijay Mehrotra:
Staffing call centers under arrival-rate uncertainty with Bayesian updates. Oper. Res. Lett. 46(4): 379-384 (2018) - [j33]Luis J. Novoa, Ahmad I. Jarrah, David P. Morton:
Flow Balancing with Uncertain Demand for Automated Package Sorting Centers. Transp. Sci. 52(1): 210-227 (2018) - 2017
- [j32]Vitor L. de Matos, David P. Morton, Erlon Cristian Finardi:
Assessing policy quality in a multistage stochastic program for long-term hydrothermal scheduling. Ann. Oper. Res. 253(2): 713-731 (2017) - [j31]Dmitriy Belyi, Elmira Popova, David P. Morton, Paul Damien:
Bayesian failure-rate modeling and preventive maintenance optimization. Eur. J. Oper. Res. 262(3): 1085-1093 (2017) - [j30]Ward Romeijnders, David P. Morton, Maarten H. van der Vlerk:
Assessing the Quality of Convex Approximations for Two-Stage Totally Unimodular Integer Recourse Models. INFORMS J. Comput. 29(2): 211-231 (2017) - 2016
- [j29]Goran Vojvodic, Ahmad I. Jarrah, David P. Morton:
Forward thresholds for operation of pumped-storage stations in the real-time energy market. Eur. J. Oper. Res. 254(1): 253-268 (2016) - [j28]Fang Lu, John J. Hasenbein, David P. Morton:
Modeling and Optimization of a Spatial Detection System. INFORMS J. Comput. 28(3): 512-526 (2016) - 2015
- [j27]Ali Koç, David P. Morton:
Prioritization via Stochastic Optimization. Manag. Sci. 61(3): 586-603 (2015) - [j26]Václav Kozmík, David P. Morton:
Evaluating policies in risk-averse multi-stage stochastic programming. Math. Program. 152(1-2): 275-300 (2015) - [j25]Dennis P. Michalopoulos, J. Wesley Barnes, David P. Morton:
Prioritized interdiction of nuclear smuggling via tabu search. Optim. Lett. 9(8): 1477-1494 (2015) - [j24]Jinho Lee, John J. Hasenbein, David P. Morton:
Optimization of stochastic virus detection in contact networks. Oper. Res. Lett. 43(1): 59-64 (2015) - 2014
- [j23]Kelly M. Sullivan, J. Cole Smith, David P. Morton:
Convex hull representation of the deterministic bipartite network interdiction problem. Math. Program. 145(1-2): 349-376 (2014) - [j22]Jing Zan, John J. Hasenbein, David P. Morton:
Asymptotically optimal staffing of service systems with joint QoS constraints. Queueing Syst. Theory Appl. 78(4): 359-386 (2014) - [j21]Constantine Caramanis, Nedialko B. Dimitrov, David P. Morton:
Efficient Algorithms for Budget-Constrained Markov Decision Processes. IEEE Trans. Autom. Control. 59(10): 2813-2817 (2014) - 2013
- [j20]Nedialko B. Dimitrov, Alexander Moffett, David P. Morton, Sahotra Sarkar:
Selecting malaria interventions: A top-down approach. Comput. Oper. Res. 40(9): 2229-2240 (2013) - [j19]Tara Rengarajan, Nedialko B. Dimitrov, David P. Morton:
Convex Approximations of a Probabilistic Bicriteria Model with Disruptions. INFORMS J. Comput. 25(1): 147-160 (2013) - [j18]David P. Morton, Jonathan F. Bard:
Special Issue Dedicated to the Memory of Paul A. Jensen. INFORMS Trans. Educ. 14(1): 1-3 (2013) - [j17]Anderson Rodrigo de Queiroz, David P. Morton:
Sharing cuts under aggregated forecasts when decomposing multi-stage stochastic programs. Oper. Res. Lett. 41(3): 311-316 (2013) - 2012
- [j16]Fehmi Tanrisever, Douglas Morrice, David P. Morton:
Managing capacity flexibility in make-to-order production environments. Eur. J. Oper. Res. 216(2): 334-345 (2012) - 2011
- [j15]Nedialko B. Dimitrov, Dennis P. Michalopoulos, David P. Morton, Michael V. Nehme, Feng Pan, Elmira Popova, Erich A. Schneider, Gregory G. Thoreson:
Network deployment of radiation detectors with physics-based detection probability calculations. Ann. Oper. Res. 187(1): 207-228 (2011) - [j14]Güzin Bayraksan, David P. Morton:
A Sequential Sampling Procedure for Stochastic Programming. Oper. Res. 59(4): 898-913 (2011) - 2008
- [j13]Feng Pan, David P. Morton:
Minimizing a stochastic maximum-reliability path. Networks 52(3): 111-119 (2008) - 2007
- [j12]Jonathan F. Bard, David P. Morton, Yong Min Wang:
Workforce planning at USPS mail processing and distribution centers using stochastic optimization. Ann. Oper. Res. 155(1): 51-78 (2007) - 2006
- [j11]Güzin Bayraksan, David P. Morton:
Assessing solution quality in stochastic programs. Math. Program. 108(2-3): 495-514 (2006) - 2005
- [j10]Steftcho P. Dokov, David P. Morton:
Second-Order Lower Bounds on the Expectation of a Convex Function. Math. Oper. Res. 30(3): 662-677 (2005) - 2003
- [j9]Astrid S. Kenyon, David P. Morton:
Stochastic Vehicle Routing with Random Travel Times. Transp. Sci. 37(1): 69-82 (2003) - 2002
- [j8]Steven F. Baker, David P. Morton, Richard E. Rosenthal, Laura Melody Williams:
Optimizing Military Airlift. Oper. Res. 50(4): 582-602 (2002) - 1999
- [j7]David P. Morton, R. Kevin Wood:
Restricted-Recourse Bounds for Stochastic Linear Programming. Oper. Res. 47(6): 943-956 (1999) - [j6]Wai-Kei Mak, David P. Morton, R. Kevin Wood:
Monte Carlo bounding techniques for determining solution quality in stochastic programs. Oper. Res. Lett. 24(1-2): 47-56 (1999) - 1998
- [j5]Kelly J. Cormican, David P. Morton, R. Kevin Wood:
Stochastic Network Interdiction. Oper. Res. 46(2): 184-197 (1998) - [j4]David P. Morton:
Stopping Rules for a Class of Sampling-Based Stochastic Programming Algorithms. Oper. Res. 46(5): 710-718 (1998) - 1996
- [j3]David P. Morton:
An enhanced decomposition algorithm for multistage stochastic hydroelectric scheduling. Ann. Oper. Res. 64(1): 211-235 (1996) - [j2]Gerd Infanger, David P. Morton:
Cut sharing for multistage stochastic linear programs with interstage dependency. Math. Program. 75: 241-256 (1996) - 1995
- [j1]Jonathan Jacobs, Gary Freeman, Jan Grygier, David P. Morton, Gary Schultz, Konstantin Staschus, Jery R. Stedinger:
SOCRATES: A system for scheduling hydroelectric generation under uncertainty. Ann. Oper. Res. 59(1): 99-133 (1995)
Conference and Workshop Papers
- 2017
- [c9]Alexander J. Zolan, John J. Hasenbein, David P. Morton:
Optimizing the design of a latin hypercube sampling estimator. WSC 2017: 1832-1843 - 2011
- [c8]Péguy Pierre-Louis, Güzin Bayraksan, David P. Morton:
A combined deterministic and sampling-based sequential bounding method for stochastic programming. WSC 2011: 4172-4183 - 2009
- [c7]Dmitriy Belyi, Paul Damien, David P. Morton, Elmira Popova:
Bayesian Non-parametric Simulation of Hazard Functions. WSC 2009: 475-482 - [c6]Alexander Galenko, David P. Morton, Elmira Popova, Ivilina Popova:
Simulating Cointegrated Time Series. WSC 2009: 483-493 - [c5]Tara Rengarajan, David P. Morton:
Estimating the Efficient Frontier of a Probabilistic Bicriteria Model. WSC 2009: 494-504 - 2007
- [c4]Güzin Bayraksan, David P. Morton:
Sequential sampling for solving stochastic programs. WSC 2007: 421-429 - 2006
- [c3]Amit Partani, David P. Morton, Ivilina Popova:
Jackknife estimators for reducing bias in asset allocation. WSC 2006: 783-791 - 2002
- [c2]David P. Morton:
Testing Solution Quality in Stochastic Programs. OR 2002: 395-400 - 1998
- [c1]Elmira Popova, David P. Morton:
Adaptive Stochastic Manpower Scheduling. WSC 1998: 661-668
Parts in Books or Collections
- 2005
- [p1]David W. Watkins Jr., Daene C. McKinney, David P. Morton:
21. Groundwater Pollution Control. Applications of Stochastic Programming 2005: 409-424
Reference Works
- 2009
- [r1]David P. Morton, Elmira Popova:
Monte-Carlo Simulations for Stochastic Optimization. Encyclopedia of Optimization 2009: 2337-2345
Informal and Other Publications
- 2009
- [i2]Chun-Hung Chen, Liu Hong, Paul B. Kantor, David P. Morton, Juta Pichitlamken, Matthias W. Seeger:
09181 Working Group on Hybridization between R&S, DoE and Optimization. Sampling-based Optimization in the Presence of Uncertainty 2009 - 2005
- [i1]David P. Morton, Güzin Bayraksan:
Assessing Solution Quality in Stochastic Programs. Algorithms for Optimization with Incomplete Information 2005
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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