David P. Morton

According to our database, David P. Morton authored at least 60 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Pragmatic Distributionally Robust Optimization for Simple Integer Recourse Models.

E. Ruben van Beesten, Ward Romeijnders, David P. Morton

SIAM J. Optim., 2024

2022

Distributionally Robust Two-Stage Stochastic Programming.

Daniel Duque, Sanjay Mehrotra, David P. Morton

SIAM J. Optim., 2022

Optimal hierarchical clustering on a graph.

Gökçe Kahvecioglu, David P. Morton

Networks, 2022

Optimal crashing of an activity network with disruptions.

Haoxiang Yang, David P. Morton

Math. Program., 2022

Special Issue: Topics in Stochastic Programming.

Tito Homem-de-Mello, Milos Kopa, David P. Morton

Math. Program., 2022

Bi-objective multistage stochastic linear programming.

Oscar Dowson, David P. Morton, Anthony Downward

Math. Program., 2022

2021

Decomposing Loosely Coupled Mixed-Integer Programs for Optimal Microgrid Design.

Alexander J. Zolan, Michael S. Scioletti, David P. Morton, Alexandra M. Newman

INFORMS J. Comput., 2021

Robust Optimization for Electricity Generation.

Haoxiang Yang, David P. Morton, Chaithanya Bandi, Krishnamurthy Dvijotham

INFORMS J. Comput., 2021

Investment effects of pricing schemes for non-convex markets.

Jacob Mays, David P. Morton, Richard P. O'Neill

Eur. J. Oper. Res., 2021

2020

Distributionally Robust Stochastic Dual Dynamic Programming.

Daniel Duque, David P. Morton

SIAM J. Optim., 2020

Partially observable multistage stochastic programming.

Oscar Dowson, David P. Morton, Bernardo K. Pagnoncelli

Oper. Res. Lett., 2020

2019

Minimum-risk routing through a mapped minefield.

Christopher Richards, Christopher Odom, David P. Morton, Alexandra M. Newman

Networks, 2019

2018

Flow Balancing with Uncertain Demand for Automated Package Sorting Centers.

Luis J. Novoa, Ahmad I. Jarrah, David P. Morton

Transp. Sci., 2018

Staffing call centers under arrival-rate uncertainty with Bayesian updates.

Jing Zan, John J. Hasenbein, David P. Morton, Vijay Mehrotra

Oper. Res. Lett., 2018

An adaptive model with joint chance constraints for a hybrid wind-conventional generator system.

Bismark Singh, David P. Morton, Surya Santoso

Comput. Manag. Sci., 2018

The stochastic programming heritage of Maarten van der Vlerk.

David P. Morton, Ward Romeijnders, Rüdiger Schultz, Leen Stougie

Comput. Manag. Sci., 2018

2017

Assessing the Quality of Convex Approximations for Two-Stage Totally Unimodular Integer Recourse Models.

Ward Romeijnders, David P. Morton, Maarten H. van der Vlerk

INFORMS J. Comput., 2017

Bayesian failure-rate modeling and preventive maintenance optimization.

Dmitriy Belyi, Elmira Popova, David P. Morton, Paul Damien

Eur. J. Oper. Res., 2017

Assessing policy quality in a multistage stochastic program for long-term hydrothermal scheduling.

Vitor L. de Matos, David P. Morton, Erlon Cristian Finardi

Ann. Oper. Res., 2017

Optimizing the design of a latin hypercube sampling estimator.

Alexander J. Zolan, John J. Hasenbein, David P. Morton

Proceedings of the 2017 Winter Simulation Conference, 2017

2016

Modeling and Optimization of a Spatial Detection System.

Fang Lu, John J. Hasenbein, David P. Morton

INFORMS J. Comput., 2016

Forward thresholds for operation of pumped-storage stations in the real-time energy market.

Goran Vojvodic, Ahmad I. Jarrah, David P. Morton

Eur. J. Oper. Res., 2016

2015

Optimization of stochastic virus detection in contact networks.

Jinho Lee, John J. Hasenbein, David P. Morton

Oper. Res. Lett., 2015

Prioritized interdiction of nuclear smuggling via tabu search.

Dennis P. Michalopoulos, J. Wesley Barnes, David P. Morton

Optim. Lett., 2015

Evaluating policies in risk-averse multi-stage stochastic programming.

Václav Kozmík, David P. Morton

Math. Program., 2015

Prioritization via Stochastic Optimization.

Ali Koç, David P. Morton

Manag. Sci., 2015

2014

Efficient Algorithms for Budget-Constrained Markov Decision Processes.

Constantine Caramanis, Nedialko B. Dimitrov, David P. Morton

IEEE Trans. Autom. Control., 2014

Asymptotically optimal staffing of service systems with joint QoS constraints.

Jing Zan, John J. Hasenbein, David P. Morton

Queueing Syst. Theory Appl., 2014

Convex hull representation of the deterministic bipartite network interdiction problem.

Kelly M. Sullivan, J. Cole Smith, David P. Morton

Math. Program., 2014

2013

Sharing cuts under aggregated forecasts when decomposing multi-stage stochastic programs.

Anderson Rodrigo de Queiroz, David P. Morton

Oper. Res. Lett., 2013

Special Issue Dedicated to the Memory of Paul A. Jensen.

David P. Morton, Jonathan F. Bard

INFORMS Trans. Educ., 2013

Convex Approximations of a Probabilistic Bicriteria Model with Disruptions.

Tara Rengarajan, Nedialko B. Dimitrov, David P. Morton

INFORMS J. Comput., 2013

Selecting malaria interventions: A top-down approach.

Nedialko B. Dimitrov, Alexander Moffett, David P. Morton, Sahotra Sarkar

Comput. Oper. Res., 2013

2012

Managing capacity flexibility in make-to-order production environments.

Fehmi Tanrisever, Douglas Morrice, David P. Morton

Eur. J. Oper. Res., 2012

2011

A Sequential Sampling Procedure for Stochastic Programming.

Güzin Bayraksan, David P. Morton

Oper. Res., 2011

Network deployment of radiation detectors with physics-based detection probability calculations.

Nedialko B. Dimitrov, Dennis P. Michalopoulos, David P. Morton, Michael V. Nehme, Feng Pan, Elmira Popova, Erich A. Schneider, Gregory G. Thoreson

Ann. Oper. Res., 2011

A combined deterministic and sampling-based sequential bounding method for stochastic programming.

Péguy Pierre-Louis, Güzin Bayraksan, David P. Morton

Proceedings of the Winter Simulation Conference 2011, 2011

2009

Monte-Carlo Simulations for Stochastic Optimization.

David P. Morton, Elmira Popova

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Estimating the Efficient Frontier of a Probabilistic Bicriteria Model.

Tara Rengarajan, David P. Morton

Proceedings of the 2009 Winter Simulation Conference, 2009

Simulating Cointegrated Time Series.

Alexander Galenko, David P. Morton, Elmira Popova, Ivilina Popova

Proceedings of the 2009 Winter Simulation Conference, 2009

Bayesian Non-parametric Simulation of Hazard Functions.

Dmitriy Belyi, Paul Damien, David P. Morton, Elmira Popova

Proceedings of the 2009 Winter Simulation Conference, 2009

09181 Working Group on Hybridization between R&S, DoE and Optimization.

Chun-Hung Chen, Liu Hong, Paul B. Kantor, David P. Morton, Juta Pichitlamken, Matthias W. Seeger

Proceedings of the Sampling-based Optimization in the Presence of Uncertainty, 26.04., 2009

2008

Minimizing a stochastic maximum-reliability path.

Feng Pan, David P. Morton

Networks, 2008

2007

Workforce planning at USPS mail processing and distribution centers using stochastic optimization.

Jonathan F. Bard, David P. Morton, Yong Min Wang

Ann. Oper. Res., 2007

Sequential sampling for solving stochastic programs.

Güzin Bayraksan, David P. Morton

Proceedings of the Winter Simulation Conference, 2007

2006

Assessing solution quality in stochastic programs.

Güzin Bayraksan, David P. Morton

Math. Program., 2006

Jackknife estimators for reducing bias in asset allocation.

Amit Partani, David P. Morton, Ivilina Popova

Proceedings of the Winter Simulation Conference WSC 2006, 2006

2005

Second-Order Lower Bounds on the Expectation of a Convex Function.

Steftcho P. Dokov, David P. Morton

Math. Oper. Res., 2005

21. Groundwater Pollution Control.

David W. Watkins Jr., Daene C. McKinney, David P. Morton

Proceedings of the Applications of Stochastic Programming, 2005

2003

Stochastic Vehicle Routing with Random Travel Times.

Astrid S. Kenyon, David P. Morton

Transp. Sci., 2003

2002

Optimizing Military Airlift.

Steven F. Baker, David P. Morton, Richard E. Rosenthal, Laura Melody Williams

Oper. Res., 2002

Testing Solution Quality in Stochastic Programs.

David P. Morton

Proceedings of the Operations Research Proceedings 2002, 2002

1999

Monte Carlo bounding techniques for determining solution quality in stochastic programs.

Wai-Kei Mak, David P. Morton, R. Kevin Wood

Oper. Res. Lett., 1999

Restricted-Recourse Bounds for Stochastic Linear Programming.

David P. Morton, R. Kevin Wood

Oper. Res., 1999

1998

Stopping Rules for a Class of Sampling-Based Stochastic Programming Algorithms.

David P. Morton

Oper. Res., 1998

Stochastic Network Interdiction.

Kelly J. Cormican, David P. Morton, R. Kevin Wood

Oper. Res., 1998

Adaptive Stochastic Manpower Scheduling.

Elmira Popova, David P. Morton

Proceedings of the 30th conference on Winter simulation, 1998

1996

Cut sharing for multistage stochastic linear programs with interstage dependency.

Gerd Infanger, David P. Morton

Math. Program., 1996

An enhanced decomposition algorithm for multistage stochastic hydroelectric scheduling.

David P. Morton

Ann. Oper. Res., 1996

1995

SOCRATES: A system for scheduling hydroelectric generation under uncertainty.

Jonathan Jacobs, Gary Freeman, Jan Grygier, David P. Morton, Gary Schultz, Konstantin Staschus, Jery R. Stedinger

Ann. Oper. Res., 1995