DocumentCode :
3354443
Title :
An enhanced RSM algorithm using gradient-deflection and second-order search strategies
Author :
Joshi, Shirish S. ; Sherali, Hanif D. ; Tew, Jeffrey D.
Author_Institution :
Center for Transport. Anal., Oak Ridge Nat. Lab., TN, USA
fYear :
1994
fDate :
11-14 Dec. 1994
Firstpage :
297
Lastpage :
304
Abstract :
This paper presents a new methodology for improving the search techniques currently being used in standard Response Surface Methodology (RSM) algorithms. RSM is a collection of mathematical and statistical techniques used for experimental optimization. Our improved RSM algorithm incorporates certain gradient deflection methods, augmented with appropriate restarting criteria, as opposed to using the path of steepest descent as the only search direction. In order to empirically investigate our new RSM algorithm in comparison with the standard RSM techniques, a set of standard test functions is used. We consider two cases for each test function; with a random perturbation added to the function and without a random perturbation added to the function. Computational results exhibit the improvements achieved under the proposed algorithm.
Keywords :
linear programming; minimisation; search problems; enhanced RSM algorithm; experimental optimization; gradient-deflection; mathematical techniques; random perturbation; response surface methodology algorithms; search techniques; second-order search strategies; statistical techniques; steepest descent; test functions; Laboratories; Modeling; Optimization methods; Response surface methodology; Systems engineering and theory; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference Proceedings, 1994. Winter
Print_ISBN :
0-7803-2109-X
Type :
conf
DOI :
10.1109/WSC.1994.717157
Filename :
717157
Link To Document :
بازگشت