Probability, statistics, and queueing theory with computer science applications
Probability, statistics, and queueing theory with computer science applications
LAPACK's user's guide
Simulation optimization using simulated annealing
Computers and Industrial Engineering
A method for discrete stochastic optimization
Management Science
Sample-path optimization of convex stochastic performance functions
Mathematical Programming: Series A and B
Analysis of sample-path optimization
Mathematics of Operations Research
Introduction to the art and science of simulation
Proceedings of the 30th conference on Winter simulation
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We propose solving continuous parametric simulation optimizations using a deterministic nonlinear optimization algorithm and sample-path simulations. The optimization problem is written in a modeling language with a simulation module accessed with an external function call. Since we allow no changes to the simulation code at all, we propose using a quadratic approximation of the simulation function to obtain derivatives. Results on three different queueing models are presented that show our method to be effective on a variety of practical problems.