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Discrete Dynamics in Nature and Society
Volume 2013, Article ID 325686, 9 pages
http://dx.doi.org/10.1155/2013/325686
Research Article

Multiobjective Vehicle Routing Problem with Route Balance Based on Genetic Algorithm

1Institute of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei 430068, China
2Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing, Jiangsu 210094, China

Received 2 July 2013; Revised 1 October 2013; Accepted 13 November 2013

Academic Editor: Tinggui Chen

Copyright © 2013 Wei Zhou 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 [7 citations]

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

  • V.N Kubil, V.A Mokhov, and D.V Grinchenkov, “Multi-Objective Ant Colony Optimization for Multi-Depot Heterogenous Vehicle Routing Problem,” 2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), pp. 1–6, . 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
  • Yicong Wang, Yu Guo, Qi Wu, Siguo Li, and Yanjiao Ge, “Real-Time Planning Method of Material Distribution Path Based on Improved Genetic Algorithm,” Nanjing Hangkong Hangtian Daxue Xuebao/Journal of Nanjing University of Aeronautics and Astronautics, vol. 49, no. 6, pp. 786–792, 2017. View at Publisher · View at Google Scholar
  • Raman Maini, and Rajeev Goel, “Vehicle routing problem and its solution methodologies: A survey,” International Journal of Logistics Systems and Management, vol. 28, no. 4, pp. 419–435, 2017. View at Publisher · View at Google Scholar
  • Thansekhar, Saravanan, Sivaramkumar, and Miruna Joe Amali, “Demonstrating the importance of using total time balance instead of route balance on a multi-objective vehicle routing problem with time windows,” International Journal of Advanced Manufacturing Technology, vol. 98, no. 5-8, pp. 1287–1306, 2018. View at Publisher · View at Google Scholar
  • Zizhen Zhang, Yuyan Sun, Hong Xie, Yi Teng, and Jiahai Wang, “GMMA: GPU-based multiobjective memetic algorithms for vehicle routing problem with route balancing,” Applied Intelligence, 2018. View at Publisher · View at Google Scholar
  • Martha-Selene Casas-Ramírez, José-Fernando Camacho-Vallejo, Rosa G. González-Ramírez, José-Antonio Marmolejo-Saucedo, and José-Manuel Velarde-Cantú, “Optimizing a Biobjective Production-Distribution Planning Problem Using a GRASP,” Complexity, vol. 2018, pp. 1–13, 2018. View at Publisher · View at Google Scholar