TY - JOUR
T1 - Urban hazmat transportation with multi-factor
AU - Du, Jiaoman
AU - Li, Xiang
AU - Shang, Changjing
AU - Li, Lei
N1 - Funding Information:
This study was supported by grants from National Natural Science Foundation of China of No. 71722007, and the Fundamental Research Funds for the Central Universities (No. XK1802-5).
Funding Information:
This study was supported by grants from National Natural Science Foundation of China of No. 71722007, and the Fundamental Research Funds for the Central Universities (No. XK1802-5).
Publisher Copyright:
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - In this paper, an urban hazmat transportation problem considering multiple factors that tangle with real-world applications (i.e., weather conditions, traffic conditions, population density, time window, link closure and half link closure) is investigated. Based on multiple depot capacitated vehicle routing problem, we provide a multi-level programming formulation for urban hazmat transportation. To obtain the Pareto optimal solution, an improved biogeography-based optimization (improved BBO) algorithm is designed, comparing with the original BBO and genetic algorithm, with both simulated numerical examples and a real-world case study, demonstrating the effectiveness of the proposed approach
AB - In this paper, an urban hazmat transportation problem considering multiple factors that tangle with real-world applications (i.e., weather conditions, traffic conditions, population density, time window, link closure and half link closure) is investigated. Based on multiple depot capacitated vehicle routing problem, we provide a multi-level programming formulation for urban hazmat transportation. To obtain the Pareto optimal solution, an improved biogeography-based optimization (improved BBO) algorithm is designed, comparing with the original BBO and genetic algorithm, with both simulated numerical examples and a real-world case study, demonstrating the effectiveness of the proposed approach
KW - urban hazmat transportation
KW - multiple factors
KW - multi-level programming
KW - biogeography-based optimization
KW - pareto optimization
KW - Multi-level programming
KW - Biogeography-based optimization
KW - Urban hazmat transportation
KW - Pareto optimization
KW - Multiple factors
UR - http://www.scopus.com/inward/record.url?scp=85081388722&partnerID=8YFLogxK
U2 - 10.1007/s00500-019-03956-x
DO - 10.1007/s00500-019-03956-x
M3 - Article
SN - 1432-7643
VL - 24
SP - 6307
EP - 6328
JO - Soft Computing
JF - Soft Computing
IS - 9
ER -
