DocumentCode
353767
Title
An algorithm to reduce the number of simulation steps for optimizing closed Jackson network
Author
Zhou, Yaping ; Yin, Baoqun ; Xi Hongsheng ; Hua, Zhongsheng
Author_Institution
Univ. of Sci. & Technol. of China, Hefei, China
Volume
4
fYear
2000
fDate
2000
Firstpage
2370
Abstract
For optimizing the closed Jackson network, the gradient information obtained from perturbation analysis is a useful search method. However, in the simulation-based optimization, too many simulation steps is the major factor of reducing the optimization speed. We suggest a new method which uses the information derived from the simulation of old parameters to greatly enhance the speed of optimization
Keywords
computer networks; gradient methods; optimisation; perturbation techniques; queueing theory; simulation; closed Jackson network; gradient method; perturbation analysis; queueing network; search method; simulation-based optimization; Analytical models; Information analysis; Optimization methods; Queueing analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.862441
Filename
862441
Link To Document