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Mathematical Problems in Engineering
Volume 2017, Article ID 9628935, 13 pages
https://doi.org/10.1155/2017/9628935
Research Article

Combining Extended Imperialist Competitive Algorithm with a Genetic Algorithm to Solve the Distributed Integration of Process Planning and Scheduling Problem

School of Information, Zhejiang University of Finance and Economics, No. 18 Xueyuan Street, Xiasha, Hangzhou 310018, China

Correspondence should be addressed to Shuai Zhang; moc.anis@419067sz

Received 30 April 2017; Accepted 1 November 2017; Published 20 November 2017

Academic Editor: Marco Mussetta

Copyright © 2017 Shuai Zhang 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 [3 citations]

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

  • Xiaoyu Wen, Yanqiu Xiao, Dongping Qiao, Guofu Luo, and Hao Li, “Two-stage Hybrid Algorithm for Integrated Process Planning and Scheduling Problems,” Zhongguo Jixie Gongcheng/China Mechanical Engineering, vol. 29, no. 22, pp. 2716–2732, 2018. View at Publisher · View at Google Scholar
  • Caner Erden, Halil Ibrahim Demir, and Abdullah Hulusi Kökçam, “Solving Integrated Process Planning, Dynamic Scheduling, and Due Date Assignment Using Metaheuristic Algorithms,” Mathematical Problems in Engineering, vol. 2019, pp. 1–19, 2019. View at Publisher · View at Google Scholar
  • R. Barzanji, Bahman Naderi, and Mehmet A. Begen, “Decomposition algorithms for the integrated process planning and scheduling problem,” Omega, 2019. View at Publisher · View at Google Scholar