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Department of Industrial Engineering and Logistics Management, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
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.
Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208-3119
hongl{at}ust.hk
nelsonb{at}northwestern.edu
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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