Title :
Retrospective simulation response optimization
Author :
Healy, Kevin ; Schruben, Lee W.
Author_Institution :
Sch. of O.R.I.E., Cornell Univ., Ithaca, NY, USA
Abstract :
An approach to simulation response optimization in which a simulation experiment is run in such a manner as to generate optimal solutions is presented. Once the stochastic sample path of a simulation run has been generated, it is sometimes possible to retrospectively solve a deterministic optimization problem or a closely related problem. As demonstrated with some examples from communications and manufacturing, this approach can greatly simplify both the simulation experiment and the simulation model
Keywords :
optimisation; simulation; stochastic processes; communications; deterministic optimization problem; manufacturing; optimal solutions; simulation experiment; simulation model; simulation response optimization; stochastic sample path; Algorithm design and analysis; Communication system control; Costs; Design optimization; Jacobian matrices; Optimization methods; Quality management; Response surface methodology; Stochastic processes; Virtual manufacturing;
Conference_Titel :
Simulation Conference, 1991. Proceedings., Winter
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-0181-1
DOI :
10.1109/WSC.1991.185703
