A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times

Published 2021 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times
Authors
Keywords
Many-objective evolutionary algorithm, Flexible job-shop scheduling problem, Transportation and setup times, Neighborhood structure, Reference-point
Journal
COMPUTERS & OPERATIONS RESEARCH
Volume -, Issue -, Pages 105263
Publisher
Elsevier BV
Online
2021-03-09
DOI
10.1016/j.cor.2021.105263

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search
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.