Urban hazmat transportation with multi-factor

Jiaoman Du; Xiang Li; Changjing Shang; Lei Li

doi:10.1007/s00500-019-03956-x

Urban hazmat transportation with multi-factor

Jiaoman Du
, Xiang Li
, Changjing Shang
, Lei Li

Adran Cyfrifiadureg

Beijing University of Chemical Technology
Hosei University

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

8 Dyfyniadau (Scopus)

428 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

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

Iaith wreiddiol	Saesneg
Tudalennau (o-i)	6307-6328
Nifer y tudalennau	22
Cyfnodolyn	Soft Computing
Cyfrol	24
Rhif cyhoeddi	9
Dyddiad ar-lein cynnar	01 Ebr 2019
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/s00500-019-03956-x
Statws	Cyhoeddwyd - 01 Mai 2020

NDC y CU

Mae’r allbwn hwn yn cyfrannu at y Nod(au) Datblygu Cynaliadwy canlynol

NDC 11 Dinasoedd a Chymunedau Cynaliadwy

Mynediad at Ddogfen

10.1007/s00500-019-03956-x

Urban hazmat transportation with multi-factorLlawysgrif awdur wedi’i dderbyn, 2.9 MB

Cysylltiad parhaol

Dolen barhaus

Ffeiliau eraill a chysylltiadau

Dolen i’r cyhoeddiad yn Scopus

Changjing Shang
- cnsaber.acuk
- Adran Cyfrifiadureg - Senior Research Fellow
Unigolyn: Ymchwil

Dyfynnu hyn

@article{85a2baca8891469c8b917e9dc86269a3,

title = "Urban hazmat transportation with multi-factor",

abstract = "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",

keywords = "urban hazmat transportation, multiple factors, multi-level programming, biogeography-based optimization, pareto optimization, Multi-level programming, Biogeography-based optimization, Urban hazmat transportation, Pareto optimization, Multiple factors",

author = "Jiaoman Du and Xiang Li and Changjing Shang and Lei Li",

note = "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: {\textcopyright} 2019, Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2020",

month = may,

day = "1",

doi = "10.1007/s00500-019-03956-x",

language = "English",

volume = "24",

pages = "6307--6328",

journal = "Soft Computing",

issn = "1432-7643",

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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 - https://www.scopus.com/pages/publications/85081388722

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 -

Urban hazmat transportation with multi-factor

Crynodeb

NDC y CU

Mynediad at Ddogfen

Cysylltiad parhaol

Ffeiliau eraill a chysylltiadau

Ôl bys

Proffiliau

Changjing Shang

Dyfynnu hyn