@inproceedings{86f8983da5354d5785fb8b91d66d9e8b,
title = "Solving dynamic vehicle routing problem with soft time window by iLNS and hPSO",
abstract = "Vehicle Routing Problem (VRP) is widely studied under the real logistics environments. For the reason that customers{\textquoteright} demands could appear dynamically and need to be served within fuzzy time windows, the dynamic vehicle routing problem with soft time windows (DVRPSTW) is studied in this paper. We use the improved large neighborhood search algorithm(iLNS) and the hybrid Particle Swarm Optimization(hPSO) to solve the problem. The performance of both algorithms comparing with benchmarks shows that our methods can solve DVRPSTW efficiently with more customers.",
keywords = "DVRPSTW, hPSO, iLNS",
author = "Xiaohan He and Xiaoli Zeng and Liang Song and Hejiao Huang and Hongwei Du",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 10th Annual International Conference on Combinatorial Optimization and Applications, COCOA 2016 ; Conference date: 16-12-2016 Through 18-12-2016",
year = "2016",
doi = "10.1007/978-3-319-48749-6\_51",
language = "英语",
isbn = "9783319487489",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "702--709",
editor = "Minming Li and Lusheng Wang and Chan, \{T-H. Hubert\}",
booktitle = "Combinatorial Optimization and Applications - 10th International Conference, COCOA 2016, Proceedings",
address = "德国",
}