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

Evolutionary Path Planning With Subpath Constraints

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

6 Author(s)
Gyorfi, J.S. ; Appl. Res. Center, Motorola, Inc., Schaumburg, IL, USA ; Gamota, D.R. ; Mok, S.M. ; Szczech, J.B.
more authors

We develop an evolutionary method of planning paths that are subject to subpath constraints. These constraints can include subpaths that must be incorporated into the solution path, path intersection restrictions, and obstacle avoidance. Our method involves two stages. In the first stage, a global solution is found without consideration of any obstacles. In the second stage, local planning is performed to modify the global path to avoid obstacles. Stage one involves a fixed-length chromosome formulation of a genetic algorithm that utilizes existing operators and a new subpath reversal operator. Stage two involves a graph search process. Our algorithm is applicable to the field of printed electronics where continuous-spray processes are used to deposit electrically functional material onto flexible substrates. These processes give rise to the kinds of subpath constraints we have investigated. We evaluate our algorithm by applying it to a representative problem in the printed electronics field.

Published in:

Electronics Packaging Manufacturing, IEEE Transactions on  (Volume:33 ,  Issue: 2 )

Date of Publication:

April 2010

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.