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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 3630869, 9 pages
https://doi.org/10.1155/2017/3630869
Research Article

Synergy of Genetic Algorithm with Extensive Neighborhood Search for the Permutation Flowshop Scheduling Problem

1Department of Distribution Management, National Taichung University of Science and Technology, Taichung 404, Taiwan
2Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung 404, Taiwan

Correspondence should be addressed to Chien-Che Huang; moc.liamg@8290selrahc

Received 19 August 2016; Revised 24 December 2016; Accepted 17 January 2017; Published 13 February 2017

Academic Editor: Jean J. Loiseau

Copyright © 2017 Rong-Chang Chen 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

Rong-Chang Chen, Jeanne Chen, Tung-Shou Chen, Chien-Che Huang, and Li-Chiu Chen, “Synergy of Genetic Algorithm with Extensive Neighborhood Search for the Permutation Flowshop Scheduling Problem,” Mathematical Problems in Engineering, vol. 2017, Article ID 3630869, 9 pages, 2017. doi:10.1155/2017/3630869