object BankOpt2 extends App
The BankOpt2 object performs Simulation Optimization 'SO' on a bank model to
find the number of tellers that minimizes 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 dollars per minute of mean waiting time).
> runMain apps.process.BankOpt2
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- def f(x: VectorD): Double
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.
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the vector of input parameters
- See also
"SoPT: Ontology for Simulation Optimization for Scientific Experiments"
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Computation of the constraint function
Computation of the constraint function
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the vector of input parameters
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