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OPERATIONS RESEARCH
Vol. 54, No. 1, January-February 2006, pp. 115-129
DOI: 10.1287/opre.1050.0237
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Discrete Optimization via Simulation Using COMPASS

L. Jeff Hong, Barry L. Nelson

Department of Industrial Engineering and Logistics Management, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208-3119

hongl{at}ust.hk
nelsonb{at}northwestern.edu

We propose an optimization-via-simulation algorithm, called COMPASS, for use when the performance measure is estimated via a stochastic, discrete-event simulation, and the decision variables are integer ordered. We prove that COMPASS converges to the set of local optimal solutions with probability 1 for both terminating and steady-state simulation, and for both fully constrained problems and partially constrained or unconstrained problems under mild conditions.

Subject classifications: simulation; design of experiments; optimization via simulation; programming; stochastic; adaptive random search.
History: Received January 2004; revision received June 2004; revision received October 2004; accepted October 2004.




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