Simulation optimization methodologies

Simulation models can be used as the objective function and/or constraint functions in optimizing stochastic complex systems. This tutorial is not meant to be an exhaustive literature search on simulation optimization techniques. It does not concentrate on explaining well-known general optimization and mathematical programming techniques either. Its emphasis is mostly on issues that are specific to simulation optimization. Even though a lot of effort has been spent to provide a reasonable overview of the field, still there are methods and techniques that have not been covered and valuable works that may not have been mentioned.

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[34]  Gül Gürkan,et al.  Sample-path optimization in simulation , 1994, Proceedings of Winter Simulation Conference.

[35]  Farhad Azadivar,et al.  Genetic algorithms in optimizing simulated systems , 1995, WSC '95.

[36]  Mahmoud H. Alrefaei,et al.  A new search algorithm for discrete stochastic optimization , 1995, WSC '95.

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[38]  Sigrún Andradóttir,et al.  A review of simulation optimization techniques , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[39]  James R. Wilson,et al.  A revised simplex search procedure for stochastic simulation response-surface optimization , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

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[42]  P. Glynn LIKELIHOOD RATIO GRADIENT ESTIMATION : AN OVERVIEW by , 2022 .