Computation of the objective function from the simulation results.
Computation of the objective function from the simulation results. This involves (1) extracting and checking input parameters, (2) executing the simulation model and (3) performing cost analysis.
the vector of input parameters
"SoPT: Ontology for Simulation Optimization for Scientific Experiments"
The
BankOpt
object performs Simulation Optimization (SO) on a bank model to find the number of tellers that mimimizes the overall cost function. Cost is based on the daily pay for a teller (8 hours * 20 dollars per hour) and a cost based on customer wait time (10 dollarsper minute of mean waiting time).