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The Scientific World Journal
Volume 2014, Article ID 497109, 16 pages
http://dx.doi.org/10.1155/2014/497109
Research Article

Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design

1Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan
2Department of Business Administration, National Taipei College of Business, Taipei 10051, Taiwan
3Complex System and Computational Intelligent Laboratory, Taiyuan University of Science and Technology, Taiyuan 030024, China
4State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China

Received 11 October 2013; Accepted 23 December 2013; Published 24 April 2014

Academic Editors: J. Liu and K. Matsumoto

Copyright © 2014 Z. H. Che 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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Hanzel Grillo, David Peidro, M. M. E. Alemany, and Josefa Mula, “Application of particle swarm optimisation with backward calculation to solve a fuzzy multi-objective supply chain master planning model,” International Journal Of Bio-Inspired Computation, vol. 7, no. 3, pp. 157–169, 2015. View at Publisher · View at Google Scholar
  • Sunil Kumar Jauhar, and Millie Pant, “Genetic algorithms in supply chain management: A critical analysis of the literature,” Sadhana - Academy Proceedings in Engineering Sciences, vol. 41, no. 9, pp. 993–1017, 2016. View at Publisher · View at Google Scholar