A Hybrid Heuristic Algorithm for Maximizing the Resilience of Underground Logistics Network Planning

被引:1
|
作者
Xue, Zhaojie [1 ,2 ,3 ]
Fang, Yunliang [1 ,2 ,3 ]
Peng, Wenxiang [1 ,2 ,3 ]
Chen, Xiangsheng [1 ,2 ,3 ]
机构
[1] Shenzhen Univ, Coll Civil & Transportat Engn, Shenzhen 518060, Peoples R China
[2] Shenzhen Univ, Key Lab Coastal Urban Resilient Infrastruct, Minist Educ, Shenzhen 518060, Peoples R China
[3] Shenzhen Univ, Underground Polis Acad, Shenzhen 518060, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 23期
基金
中国国家自然科学基金;
关键词
underground logistics network; network layout; network resilience; two-stage linear programming model; heuristic algorithm; RECOVERY; DESIGN;
D O I
10.3390/app132312588
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In recent times, there has been a sharp increase in the congestion of ground transportation, the scarcity of land resources, and various disasters. Hence, there is an urgent need to find an effective and sustainable approach to transportation. The construction of an underground logistics network, where transportation activities occur beneath the surface of the ground, is anticipated to emerge as a future trend. This study aims to formulate a resilient-maximizing plan for the underground logistics network, ensuring optimal meeting of transportation demands in the aftermath of ground disasters. Accordingly, a two-stage linear programming model is established to determine the layout plan for the most resilient underground logistics network. The first phase of the model is designed to generate viable layouts for the underground logistics network, while the second phase is dedicated to evaluating the resilience of the proposed layout plan. During the evaluation of network resilience, Monte Carlo simulations are used to simulate disaster scenarios. Given the inherent complexity of the model, the traditional solver cannot efficiently solve the problem. Thus, a new hybrid heuristic algorithm is designed to obtain solutions that maximize network resilience. The results show the effectiveness of the designed algorithm and the significant improvement in network resilience achieved by numerical experiments. Moreover, sensitivity analyses are conducted to reveal the relationships between resilience and budget, as well as resilience and the capacity of underground pipelines. It has a significant impact on sustainability when making decisions regarding network planning.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Maximizing Network Resilience against Malicious Attacks
    Li, Wenguo
    Li, Yong
    Tan, Yi
    Cao, Yijia
    Chen, Chun
    Cai, Ye
    Lee, Kwang Y.
    Pecht, Michael
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [42] Two Stage Heuristic Algorithm for Logistics Network Optimization of Integrated Location-Routing-Inventory
    Wang, Hao
    Lim, Ming K.
    RECENT ADVANCES IN INTELLIGENT MANUFACTURING, PT I, 2018, 923 : 209 - 217
  • [43] A Flow-Based Heuristic Algorithm for Network Operations Planning in Smart Grids
    Davidescu, George
    Filchenkov, Andrey
    Muratov, Amir
    Vyatkin, Valeriy
    IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 3529 - 3534
  • [44] LRP Model and Algorithm of Expressway Logistics Network Planning Based on Internet of Things
    Kou, Zheng
    Zhang, Man
    MOBILE INFORMATION SYSTEMS, 2021, 2021
  • [46] A Multi-robot Path Planning Algorithm for Underground Pipeline Network Environment
    He Z.
    Mao J.
    Yang Z.
    Zhang K.
    Zhang S.
    Fu L.
    Jiqiren/Robot, 2024, 46 (01): : 94 - 104and117
  • [47] HEURISTIC ALGORITHM FOR WASTEWATER PLANNING - DISCUSSION
    WHITLATCH, EE
    JOURNAL OF THE ENVIRONMENTAL ENGINEERING DIVISION-ASCE, 1978, 104 (05): : 1051 - 1053
  • [48] Heuristic factory planning algorithm for advanced planning and scheduling
    Kung, Ling-Chieh
    Chern, Ching-Chin
    COMPUTERS & OPERATIONS RESEARCH, 2009, 36 (09) : 2513 - 2530
  • [49] A heuristic algorithm for network equilibration
    Xu, MH
    Lam, WHK
    Shao, H
    Luan, GF
    APPLIED MATHEMATICS AND COMPUTATION, 2006, 174 (01) : 430 - 446
  • [50] The resilience of logistics network against node failures
    Chen, Daqiang
    Sun, Danzhi
    Yin, Yunqiang
    Dhamotharan, Lalitha
    Kumar, Ajay
    Guo, Yihan
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2022, 244