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

Hybrid Application On Job-Shop Scheduling by Genetic Algorithm and MAS Spring-Net

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

2 Author(s)
Dong Yumin ; Qingdao Technol. Univ., Qingdao ; Xiao Shufen

To solve job-shop production scheduling problem, we presented a new hybrid optimum arithmetic of using genetic algorithm and MAS(multi-agent system) composite-spring-net. Introduced the structure and model of genetic algorithm, illuminated the basic principle of spring-net arithmetic. By the experiment proving, the hybrid application of GA and sping-net arithmetic can make favorable effect on solving the problems of job-shop schedule.

Published in:

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on  (Volume:2 )

Date of Conference:

July 30 2007-Aug. 1 2007

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.