Heuristic solution improvement using optimization

Robert Nauss

University of Missouri-St. Louis

Robert M. Nauss, Founder’s Professor of Management Science at the University of Missouri-St. Louis, received his Ph.D. in Operations Research from UCLA (1974). His research interests include algorithmic development for solution of large-scale integer programs.   Application areas include bus dispatching, sequencing tow/barges through river locks, municipal bond bidding, and structured design of bond issues for purchase of pools of government guaranteed mortgage-backed securities He has published articles in journals such as Management Science, INFORMS Journal on Computing, European Journal of Operations Research, Journal of the Operational Research Society, Decision Sciences, Interfaces, Computers and Operations Research, Transportation Research, Journal of Banking and Finance, and Financial Management.

Abstract

Heuristics continue to be an important tool for generating good feasible solutions for both integer programs and for problems that may be ill-structured and/or nonlinear. Such ill-structured problems may in fact not even be... [ view full abstract ]

Authors

Robert Nauss (University of Missouri-St. Louis), Jeremy North (Murray State University)

Topic Area

Topics: Supply Chain Management, Logistics, POM, & TQM

Session

SC2 » Goal Programming/Heuristic Solution Improvement/Kernel Search Algorithm (15:00 - Thursday, 23rd February, Ashley)

Paper

Heuristic_solution_improvement_using_optimization.pdf

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