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Multiple response surface methods in computer simulationSchool of Industrial and Systems Engineering Georgia Institute of Technology Atlanta, Georgia 30332
U.S. Army Field Artillery School Fort Sill, Oklahoma 73503 This paper reviews the application of multiple re sponse surfaces to multiple-variable optimization problems and describes how these techniques may be used in analyzing computer simulation experiments. An example with four response surfaces illustrates the method. In it a simulation of a tank duel is analyzed to determine the values of two independent (input) variables that will optimize four dependent (output) variables simultaneously. The problem examined is that of training battle-tank crews, and the optimization procedure used is based on the Geoffrion-Dyer interactive vector maximal algorithm.
Key Words: Geoffrion-Dyer interactive vector maximal algorithm multivariable optimization, tank warfare
SIMULATION, Vol. 29, No. 4,
113-121 (1977) This article has been cited by other articles:
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