Hill Climbing Methods for the Optimization of Multiparameter Noise Disturbed Systems

[+] Author and Article Information
Harold J. Kushner

Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Mass.

J. Basic Eng 85(2), 157-164 (Jun 01, 1963) (8 pages) doi:10.1115/1.3656551 History: Received April 05, 1962; Online November 03, 2011


Modifications of the statistical technique of Stochastic Approximation are used as a means of experimentally optimizing multiparameter systems on which the only available information is obtained from noise perturbed samples of the performance. Varieties of both Gradient and Relaxation Processes are considered and methods are given for experimentally adjusting certain undetermined process constants for most rapid (mean square) convergence to the optimum parameter settings.

Copyright © 1963 by ASME
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