SimOpt: A Library of Simulation Optimization Problems

SimOpt: A Library of Simulation Optimization Problems. Pasupathy, R. & Henderson, S. G. In Jain, S., Creasey, R. R., Himmelspach, J., White, K. P., & Fu, M., editors, Proceedings of the 2011 Winter Simulation Conference, pages 4080–4090, Piscataway, NJ, 2011. Institute of Electrical and Electronics Engineers, Inc..

Paper abstract bibtex

We present SimOpt — a library of simulation-optimization problems intended to spur development and comparison of simulation-optimization methods and algorithms. The library currently has over 50 problems that are tagged by important problem attributes such as type of decision variables, and nature of constraints. Approximately half of the problems in the library come with a downloadable simulation oracle that follows a standardized calling protocol. We also propose the idea of problem and algorithm wrappers with a view toward facilitating assessment and comparison of simulation optimization algorithms.

@inproceedings{2011pashenWSC,
	author      =   {R. Pasupathy and S. G. Henderson},
	title       =   {{SimOpt}: A Library of Simulation Optimization Problems},
	booktitle   =   {Proceedings of the 2011 Winter Simulation Conference},
	Publisher = {Institute of Electrical and Electronics Engineers, Inc.},
	Address = {Piscataway, NJ},
	editor      =   {S. Jain and R. R. Creasey and J. Himmelspach and K. P. White and M. Fu},
	pages       =   {4080--4090},
	year        =   {2011},
	url = {http://www.informs-sim.org/wsc11papers/363.pdf},
	keywords = {testbed, simopt.org},
	abstract = {We present SimOpt --- a library of simulation-optimization problems intended to spur development and comparison of simulation-optimization methods and algorithms. The library currently has over 50 problems that are tagged by important problem attributes such as type of decision variables, and nature of constraints. Approximately half of the problems in the library come with a downloadable simulation oracle that follows a standardized calling protocol. We also propose the idea of problem and algorithm wrappers with a view toward facilitating assessment and comparison of simulation optimization algorithms.}}

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