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Computational Intelligence and Neuroscience
Volume 2017, Article ID 5232518, 20 pages
https://doi.org/10.1155/2017/5232518
Research Article

A Bee Evolutionary Guiding Nondominated Sorting Genetic Algorithm II for Multiobjective Flexible Job-Shop Scheduling

State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China

Correspondence should be addressed to Guiliang Gong; moc.361@gnailiug_gnog

Received 11 November 2016; Accepted 20 February 2017; Published 28 March 2017

Academic Editor: J. Alfredo Hernández-Pérez

Copyright © 2017 Qianwang Deng 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 [6 citations]

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

  • Xuran Gong, Qianwang Deng, Guiliang Gong, Wei Liu, and Qinghua Ren, “A memetic algorithm for multi-objective flexible job-shop problem with worker flexibility,” International Journal of Production Research, pp. 1–17, 2017. View at Publisher · View at Google Scholar
  • Xiao-qiu Shi, Wei Long, Yan-yan Li, Yong-lai Wei, and Ding-shan Deng, “Different Performances of Different Intelligent Algorithms for Solving FJSP: A Perspective of Structure,” Computational Intelligence and Neuroscience, vol. 2018, pp. 1–14, 2018. View at Publisher · View at Google Scholar
  • Guiliang Gong, Qianwang Deng, Xuran Gong, Like Zhang, Haibin Wang, and He Xie, “A Bee Evolutionary Algorithm for Multiobjective Vehicle Routing Problem with Simultaneous Pickup and Delivery,” Mathematical Problems in Engineering, vol. 2018, pp. 1–21, 2018. View at Publisher · View at Google Scholar
  • Guiliang Gong, Qianwang Deng, Xuran Gong, Wei Liu, and Qinghua Ren, “A new double flexible job-shop scheduling problem integrating processing time, green production, and human factor indicators,” Journal of Cleaner Production, vol. 174, pp. 560–576, 2018. View at Publisher · View at Google Scholar
  • Raviteja Buddala, and Siba Sankar Mahapatra, “Two-stage teaching-learning-based optimization method for flexible job-shop scheduling under machine breakdown,” The International Journal of Advanced Manufacturing Technology, 2018. View at Publisher · View at Google Scholar
  • Muhammad Kamal Amjad, Shahid Ikramullah Butt, Rubeena Kousar, Riaz Ahmad, Mujtaba Hassan Agha, Zhang Faping, Naveed Anjum, and Umer Asgher, “Recent Research Trends in Genetic Algorithm Based Flexible Job Shop Scheduling Problems,” Mathematical Problems in Engineering, vol. 2018, pp. 1–32, 2018. View at Publisher · View at Google Scholar