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Mathematical Problems in Engineering
Volume 2012, Article ID 478981, 27 pages
http://dx.doi.org/10.1155/2012/478981
Research Article

A Hybrid Multiobjective Evolutionary Approach for Flexible Job-Shop Scheduling Problems

1Department of Management, College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China
2School of Software, Shenzhen Institute of Information Technology, Shenzhen 518029, China

Received 24 March 2012; Revised 24 May 2012; Accepted 25 May 2012

Academic Editor: Alex Elias-Zuniga

Copyright © 2012 Jian Xiong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jian Xiong, Xu Tan, Ke-wei Yang, Li-ning Xing, and Ying-wu Chen, “A Hybrid Multiobjective Evolutionary Approach for Flexible Job-Shop Scheduling Problems,” Mathematical Problems in Engineering, vol. 2012, Article ID 478981, 27 pages, 2012. https://doi.org/10.1155/2012/478981.