David P. Morton - Operations Research / Industrial Engineering Faculty

Degrees

Ph.D. Operations Research, Stanford University, 1993
M.S. Operations Research, Stanford University, 1990
B.S. Mathematics and Physics, Stetson University, 1987

Research/Teaching Interests

Dr. Morton specializes in stochastic and large-scale optimization. His research interests include developing and analyzing algorithms designed to solve mathematical optimization models that explicitly incorporate uncertainty. He has served on the Cockrell School of Engineering faculty since 1995 and has published numerous technical articles and reports. In 2002 Dr. Morton visited Charles University in Prague, Czech Republic, as a Fulbright Scholar to conduct research in the Department of Probability and Mathematical Statistics. He received an Engineering Foundation Faculty Excellence Award from the UT Cockrell School of Engineering in 2001. In 1997 he received two citations: National Science Foundation PECASE Award and the Rist Prize from the Military Operations Research Society. Dr. Morton was a National Research Council Postdoctoral Fellow (1993-94), recipient of the George E. Nicholson Prize, and was a finalist for the George B. Dantzig Dissertation Award, both sponsored by the Institute for Operations Research and the Management Sciences in 1994. In 1986 he received the> Emmett Ashcraft Award in Mathematics from Stetson University.

1. Stochastic Programming.
2. Large-scale Optimization.
3. Monte Carlo-based Optimization Algorithms.

Courses Taught:

1. ORI 391Q.10: Stochastic Optimization
2. ORI 391Q.11: Advanced Mathematical Programming

Publications

Journal Articles:

1. J. Jacobs, G. Freeman, J. Grygier, D. Morton, G. Schultz, K. Staschus and J. Stedinger, “SOCRATES: a system for scheduling hydroelectric generation under uncertainty,” Annals of Operations Research 59, 99-133 (1995).
2. G. Infanger and D.P. Morton, “Cut sharing for multistage stochastic linear programs with interstage dependency,” Mathematical Programming 75, 241-256 (1996).
3. D.P. Morton, “An enhanced decomposition algorithm for multistage stochastic hydroelectric scheduling,” Annals of Operations Research 64, 211-235 (1996).
4. D.P. Morton, R.E. Rosenthal, and L.T. Weng, “Optimization for airlift mobility,” Military Operations Research 1, 49-68 (1996).
5. R.E. Rosenthal, S.F. Baker, L.T. Weng, D.F. Fuller, D. Goggins, A.O. Toy, Y. Turker, D. Horton, D. Briand, and D.P. Morton, “Application and extension of the Thruput II optimization model for airlift mobility,” Military Operations Research 3, 55-74 (1997).
6. D.P. Morton, “Stopping rules for a class of sampling-based stochastic programming algorithms,” Operations Research 46, 710-718 (1998).
7. K. Cormican, D.P. Morton and R.K. Wood, “Stochastic network interdiction,” Operations Research 46, 184-197 (1998).
8. W.K. Mak, D.P. Morton and R.K. Wood, “Monte Carlo bounding techniques for determining solution quality in stochastic programs,” Operations Research Letters 24, 47-56 (1999).
9. D.P. Morton and R.K. Wood, “Restricted-recourse bounds for stochastic linear programming,” Operations Research 47, 943-956 (1999).
10. T.G. Bailey, P. Jensen and D.P. Morton, “Response surface analysis of two-stage stochastic linear programming with recourse,” Naval Research Logistics 46, 753-778 (1999).
11. S.F. Baker, D.P. Morton, R.E. Rosenthal and L.M. Williams, “Optimizing military airlift,” Operations Research 50, 582-602 (2002).
12. A. Kenyon and D.P. Morton, “A survey on stochastic location and routing problems,” Central European Journal of Operations Research, 9, 277-328 (2002).
13. J. Gomar, C.T. Haas and D.P. Morton, “Assignment and allocation optimization of a partially multiskilled workforce,” ASCE Journal of Construction Engineering and Management, 128, 103-109 (2002).
14. A. Kenyon and D.P. Morton, “Stochastic vehicle routing with random travel times,” Transportation Science, 37, 69-82 (2003).
15. D.P. Morton, E. Popova, I. Popova and M. Zhong, “Optimizing benchmark-based utility functions,” Bulletin of the Czech Econometric Society 10, 1-18 (2003).
16. D.P. Morton and E. Popova, “A Bayesian stochastic programming approach to an employee scheduling problem,” IIE Transactions on Operations Engineering 36 155-167 (2003).
17. K.J. Daun, J.R. Howell and D.P. Morton, “Geometric optimization of radiative enclosures containing specular surfaces,” Journal of Heat Transfer 125, 845-851 (2003).
18. K.J. Daun, J.R. Howell and D.P. Morton, “Design of radiant enclosures using inverse and nonlinear programming techniques,” Inverse Problems In Engineering 11, 541-560 (2003).
19. K.J. Daun, J.R. Howell and D.P. Morton, “Geometric optimization of radiant enclosures through nonlinear programming,” Numerical Heat Transfer B: Fundamentals 43, 203-219 (2003).
20. K.J. Daun, J.R. Howell and D.P. Morton, “Optimization of transient heater settings to provide spatially-uniform heating in manufacturing processes involving radiant heating,” Numerical Heat Transfer Part A: Applications 46, 651-667 (2004).
21. S.P. Dokov and D.P. Morton, “Second-order lower bounds on the expectation of a convex function,” Mathematics of Operations Research 30, 662-677 (2005).
22. J.F. Bard, D.P. Morton and Y.M. Wang, “Workforce planning at USPS mail processing & distribution centers using stochastic optimization,” to appear in Annals of Operations Research.
23. D.P. Morton, E. Popova and I. Popova, “Efficient fund of hedge funds construction under downside risk measures,” to appear in Journal of Banking and Finance.
24. K.J. Daun, J.R. Howell and D.P. Morton, “Smoothing Monte Carlo exchange factors through constrained maximum likelihood estimation,” in review.
25. S.P. Dokov and D.P. Morton, “Higher-order upper bounds on the expectation of a convex function,” in review. Available at SPEPS.
26. D.P. Morton, J. Salmeron and R.K. Wood, “A stochastic program for optimizing military sealift subject to attack,” in review. Available at SPEPS.
27. I. Popova, D.P. Morton and E. Popova, “Optimal hedge fund allocation with asymmetric preferences and distributions,” in review.
28. D.P. Morton, F. Pan and K.J. Saeger, “Models for nuclear smuggling interdiction,” in review.
29. I. Srour, C.T. Haas and D.P. Morton, “A linear programming approach to optimize strategic investment in the construction workforce,” in review.
30. G. Bayraksan and D.P. Morton, “Assessing solution quality in stochastic programs,” in review. Available at SPEPS.
31. A. Chiralaksanakul and D.P. Morton, “Assessing policy quality in multi-stage stochastic programming,” in review. Available at SPEPS.