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
  • [1] Dynamic emergency logistics planning: models and heuristic algorithm
    Longfei Wang
    Jie Song
    Leyuan Shi
    Optimization Letters, 2015, 9 : 1533 - 1552
  • [2] Dynamic emergency logistics planning: models and heuristic algorithm
    Wang, Longfei
    Song, Jie
    Shi, Leyuan
    OPTIMIZATION LETTERS, 2015, 9 (08) : 1533 - 1552
  • [3] Model and algorithm for augmenting logistics network resilience with hybrid facilities and robust strategies
    Zhu, Shengyan
    Zhuge, Dan
    Yang, Zhiyuan
    Cai, Lecai
    ADVANCED ENGINEERING INFORMATICS, 2023, 57
  • [4] Multimodal Logistics Network Design over Planning Horizon through a Hybrid Meta-Heuristic Approach
    Shimizu, Yoshiaki
    Yamazaki, Yoshihiro
    Wada, Takeshi
    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2008, 2 (05): : 915 - 925
  • [5] Dynamic Network Planning of Underground Logistics System on Uncertainty Graph
    Zhong, YiHua
    Luo, ShiMing
    Bao, Min
    Lv, XiaoDie
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 2019
  • [6] A Hybrid Heuristic and Evolutionary Algorithm for Distribution Substation Planning
    Mazhari, Seyed Mahdi
    Monsef, Hassan
    Romero, Ruben
    IEEE SYSTEMS JOURNAL, 2015, 9 (04): : 1396 - 1408
  • [7] Node layout plans for urban underground logistics systems based on heuristic Bat algorithm
    He, Mengxiao
    Sun, Ling
    Zeng, Xufeng
    Liu, Wei
    Tao, Song
    COMPUTER COMMUNICATIONS, 2020, 154 (465-480) : 465 - 480
  • [8] Distribution Network Planning Using a Constructive Heuristic Algorithm
    Lavorato, Marina
    Rider, Marcos J.
    Garcia, Ariovaldo V.
    Romero, Ruben
    2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8, 2009, : 1010 - +
  • [9] A Hybrid Meta-heuristic Method for Logistics Optimization Associated with Production Planning
    Shimizu, Yoshiaki
    Yamazaki, Yoshihiro
    Wada, Takeshi
    18TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2008, 25 : 301 - 306
  • [10] Research on the trajectory planning of logistics drones in mountainous environments based on heuristic algorithm
    Zhu, Xiaojing
    SEVENTH INTERNATIONAL CONFERENCE ON TRAFFIC ENGINEERING AND TRANSPORTATION SYSTEM, ICTETS 2023, 2024, 13064