@inproceedings{d43bac1f717e4250b85676d0acd56b65,
title = "Two-Stage Heuristic Algorithm for a New Model of Hazardous Material Multi-depot Vehicle Routing Problem",
abstract = "Vehicle routing problem (VRP) plays a vital role in logistics management. Among which, the transportation of hazardous material attracts much attention especially in China. The hazardous material multi-depot vehicle routing problem (HMDVRP) considers the transportation of hazardous material and multiple depots based on VRP. This paper develops a new HMDVRP bi-objective optimization model. Some new decision variables are introduced to the model to describe the sequence of customers and simplify the model expression. Moreover, the risk measurement of the model considers the change of the loading, which reflects the nature of hazardous material transportation. HMDVRP is NP-hard, and the heuristic algorithms are the main method used for solving it. This paper proposes a two-stage heuristic algorithm to solve the new HMDVRP model. Numerical experiments show that the two-stage heuristic algorithm can solve the HMDVRP model effectively and efficiently.",
keywords = "Bi-objective optimization, Hazardous material transportation, Heuristic algorithm, Multi-depot vehicle routing problem",
author = "Wenyan Yuan and Jian Wang and Jian Li and Bailu Yan and Jun Wu",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 17th UK Workshop on Computational Intelligence, UKCI 2017 ; Conference date: 06-09-2017 Through 08-09-2017",
year = "2018",
doi = "10.1007/978-3-319-66939-7_32",
language = "English",
isbn = "9783319669380",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "362--366",
editor = "Steven Schockaert and Qingfu Zhang and Fei Chao",
booktitle = "Advances in Computational Intelligence Systems - Contributions Presented at the 17th UK Workshop on Computational Intelligence",
address = "Germany",
}