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A two Timescale Stochastic Approximation Scheme for Simulation-Based Parametric Optimization

Published online by Cambridge University Press:  27 July 2009

Shalabh Bhatnagar  and
Vivek S. Borkar
Shalabh Bhatnagar
Affiliation:
Institute for Systems Research, University of Maryland, College Park, MD 20742shalabh@isr.umd.edu
Vivek S. Borkar
Affiliation:
Department of Computer Science and Automation, Indian Institute of Science, Bangalore 560 012, Indiaborkar@csa.iisc.ernet.in
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Abstract

A two timescale stochastic approximation scheme which uses coupled iterations is used for simulation-based parametric optimization as an alternative to traditional “infinitesimal perturbation analysis” schemes. It avoids the aggregation of data present in many other schemes. Its convergence is analyzed, and a queueing example is presented.

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 12 , Issue 4 , October 1998 , pp. 519 - 531
Copyright
Copyright © Cambridge University Press 1998

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