Cart (Loading....) | Create Account
Close category search window

Efficient approach for Monte Carlo simulation experiments and its applications to circuit systems design

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Chun-Hung Chen ; Dept. of Syst. Eng. & Oper. Res., George Mason Univ., Fairfax, VA, USA ; Donohue, K. ; Jianwu Lin ; Yucesan, E.

This paper presents an efficient method for managing Monte Carlo simulation experiments to select the optimal circuit design from a set of candidates. Simulation is a useful tool for evaluating and comparing circuit designs since it measures the impact of component variability. However, its use in circuit design has traditionally been limited to problems with a small number of design candidates due to its large computational requirements. We outline a solution method that has been successfully used in other contexts to improve the efficiency of simulation-based optimization. The method works in an iterative fashion to intelligently allocate a limited computing budget across multiple design alternatives in order to maximize the probability of correct selection. We illustrate the method's potential benefits for circuit design problems through two simple examples. The examples confirm that the method yields significant savings in computational time, making simulation-based experiments a feasible option for larger circuit design problems

Published in:

Simulation Symposium, 2001. Proceedings. 34th Annual

Date of Conference:


Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.