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The Scientific World Journal
Volume 2013, Article ID 387194, 11 pages
Research Article

A Multipopulation PSO Based Memetic Algorithm for Permutation Flow Shop Scheduling

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an 710071, China

Received 5 August 2013; Accepted 24 September 2013

Academic Editors: L. D. S. Coelho and Y. Yin

Copyright © 2013 Ruochen Liu 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 [5 citations]

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

  • Qingyang Xu, Chengjin Zhang, and Li Zhang, “A Fast Elitism Gaussian Estimation of Distribution Algorithm and Application for PID Optimization,” Scientific World Journal, 2014. View at Publisher · View at Google Scholar
  • Qifang Luo, Yongquan Zhou, Jian Xie, Mingzhi Ma, and Liangliang Li, “Discrete Bat Algorithm for Optimal Problem of Permutation Flow Shop Scheduling,” The Scientific World Journal, vol. 2014, pp. 1–15, 2014. View at Publisher · View at Google Scholar
  • Hui Zhu, “Logistics distribution center site selection based on domain mean value optimization PSO algorithm,” Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, vol. 39, no. 5, pp. 155–161, 2016. View at Publisher · View at Google Scholar
  • Victor Fernandez-Viagas, Rub?n Ruiz, and Jose M. Framinan, “A new vision of approximate methods for the permutation flowshop to minimise makespan: State-of-the-art and computational evaluation,” European Journal of Operational Research, vol. 257, no. 3, pp. 707–721, 2017. View at Publisher · View at Google Scholar
  • Denis Nasonov, Anton Radice, and Mikhail Melnik, “Coevolutionary workflow scheduling in a dynamic cloud environment,” Advances in Intelligent Systems and Computing, vol. 527, pp. 189–200, 2017. View at Publisher · View at Google Scholar