Gail W. DePuy
Affiliations: | University of Louisville, Louisville, KY, United States |
Area:
Industrial EngineeringGoogle:
"Gail DePuy"Children
Sign in to add traineeDimitrios Drosos | grad student | 2002 | University of Louisville |
Juan Song | grad student | 2005 | University of Louisville |
Erin L. Gerber | grad student | 2013 | University of Louisville |
Scott R. Hoover | grad student | 2013 | University of Louisville |
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Publications
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Moghaddam KS, DePuy GW. (2011) Farm management optimization using chance constrained programming method Computers and Electronics in Agriculture. 77: 229-237 |
Hepdogan S, Moraga RJ, DePuy GW, et al. (2009) A Meta-RaPS for the early/tardy single machine scheduling problem International Journal of Production Research. 47: 1717-1732 |
Lan G, DePuy GW, Whitehouse GE. (2007) An effective and simple heuristic for the set covering problem European Journal of Operational Research. 176: 1387-1403 |
Lan G, DePuy GW. (2006) On the effectiveness of incorporating randomness and memory into a multi-start metaheuristic with application to the Set Covering Problem Computers and Industrial Engineering. 51: 362-374 |
DePuy GW, Moraga RJ, Whitehouse GE. (2005) Meta-RaPS: a simple and effective approach for solving the traveling salesman problem Transportation Research Part E-Logistics and Transportation Review. 41: 115-130 |
Taylor GD, Whyte TC, DePuy GW, et al. (2005) A simulation-based software system for barge dispatching and boat assignment in inland waterways Simulation Modelling Practice and Theory. 13: 550-565 |
Moraga RJ, DePuy GW, Whitehouse GE. (2005) Meta-RaPS approach for the 0-1 Multidimensional Knapsack Problem Computers & Industrial Engineering. 48: 83-96 |
Ralston P, DePuy G, Graham JH. (2004) Graphical enhancement to support PCA-based process monitoring and fault diagnosis. Isa Transactions. 43: 639-53 |
DePuy GW, Taylor GD, Whyte TC. (2004) Barge fleet layout optimization International Journal of Computer Integrated Manufacturing. 17: 97-107 |
Depuy GW, Whitehouse GE. (2001) A simple and effective heuristic for the resource constrained project scheduling problem International Journal of Production Research. 39: 3275-3287 |