Fully sequential selection procedures with control variates

Shing Chih Tsai, Barry L. Nelson

研究成果: Article同行評審

11 引文 斯高帕斯(Scopus)


Fully sequential selection procedures have been developed in the field of stochastic simulation to find the simulated system with the best expected performance when the number of alternatives is finite. Kim and Nelson proposed the [KN] procedure to allow for unknown and unequal variances and the use of common random numbers. [KN] approximates the raw sum of differences between observations from two systems as a Brownian motion process with drift and uses a triangular continuation region to decide the stopping time of the selection process. In this paper new fully sequential selection procedures are derived that employ a more effective sum of differences, which is called a controlled sum. Two provably valid procedures and an approximate procedure are described. Empirical results and a realistic illustration are provided to compare the efficiency of these procedures with other procedures that solve the same problem. [Supplemental materials are available for this article. Go to the publisher's online edition of IIE Transactions for the following supplemental resources: Proofs and guidelines to choose appropriate parameters.]

頁(從 - 到)71-82
期刊IIE Transactions (Institute of Industrial Engineers)
出版狀態Published - 2010 1月

All Science Journal Classification (ASJC) codes

  • 工業與製造工程


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