Close category search window
 

Hybridizing a genetic algorithm with rule-based reasoning for production planning

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.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
Hamada, K. ; Electron. Res. Lab., Nippon Steel Corp., Kanagawa, Japan ; Baba, T. ; Sato, K. ; Yufu, M.

Scheduling problems in steelmaking are too large and complex for any one method. Our approach divides the problem into subproblems, and then combines procedural methods, a rule-based expert system, and a genetic algorithm. This strategy produces time-saving, cost-effective schedules

Published in:
IEEE Expert  (Volume:10 ,  Issue: 5 )

Date of Publication: Oct 1995

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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.