An effective teaching–learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time

Published 2015 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
An effective teaching–learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time
Authors
Keywords
Flexible job-shop scheduling problem, Fuzzy processing time, Teaching, learning, based optimization, Taguchi method
Journal
NEUROCOMPUTING
Volume 148, Issue -, Pages 260-268
Publisher
Elsevier BV
Online
2014-06-28
DOI
10.1016/j.neucom.2013.10.042

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.