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

Hill climbing with reduced search space (logic optimization)

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

1 Author(s)
Brand, D. ; IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA

A general optimization algorithm, which in some areas successfully competes with simulated annealing and the Kernighan-Lin algorithm, as well as special heuristics, is presented. It gains speed by taking advantage of the structure of the objective function in order to reduce the search space. Results obtained from the implementation of the algorithm on three problems are presented.<>

Published in:

Computer-Aided Design, 1988. ICCAD-88. Digest of Technical Papers., IEEE International Conference on

Date of Conference:

7-10 Nov. 1988

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.