Bilevel and multi-objective dynamic construction site layout and security planning

被引:31
|
作者
Li, Zongmin [1 ,3 ]
Shen, Wenjing [3 ]
Xu, Jiuping [1 ,2 ]
Lev, Benjamin [3 ]
机构
[1] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China
[2] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610064, Peoples R China
[3] Drexel Univ, Dept Decis Sci, LeBow Coll Business, Philadelphia, PA 19104 USA
关键词
Dynamic construction site layout and security; Bilevel multi-objective model; Particle Swarm Optimization Algorithm; CRITICAL INFRASTRUCTURE; OPTIMIZATION; ALGORITHMS; SELECTION; EVOLUTION; MODEL;
D O I
10.1016/j.autcon.2015.04.011
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The joint problem of dynamic construction site layout and security planning is fundamental to any construction project. However, it is still largely unexplored. Few research studies investigated the implementation of security measures during the construction phase. This paper proposes a bilevel multi-objective model for the dynamic construction site layout and security planning problem. Specifically, the upper-level programming denotes that the project manager must first choose the construction site layout and security strategies to minimize the layout costs and consequences of a potential attack. The lower-level programming denotes that the attacker will destroy a subset of the facilities to inflict the maximum economic consequence on the construction facilities system. Thereafter, a bilevel multi-objective Particle Swarm Optimization Algorithm (MOBLPSO) is designed to solve this model. Finally, the approach is carried out in the Xiajiang hydropower large-scale construction project to illustrate the effectiveness of the proposed model and algorithm. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 16
页数:16
相关论文
共 50 条
  • [21] Single and Multi-Objective Bilevel Optimization
    Antunes, Carlos Henggeler
    Alves, Maria Joao
    PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2023 COMPANION, 2023, : 835 - 853
  • [22] Multi-objective layout optimization in dynamic environments: A heuristic approach
    Dong Ming
    Liu Fei
    Hou Forest
    Zhang Franky
    Chen Feng
    GLOBALIZATION CHALLENGE AND MANAGEMENT TRANSFORMATION, VOLS I - III, 2007, : 159 - 164
  • [23] Genetic algorithm optimization for dynamic construction site layout planning
    Farmakis, Panagiotis M.
    Chassiakos, Athanasios P.
    ORGANIZATION TECHNOLOGY AND MANAGEMENT IN CONSTRUCTION, 2018, 10 (01): : 1655 - 1664
  • [24] A multi-objective bilevel programming model for the planning of oilfield output and its application
    Liu, Zhibin
    Liu, Qingyou
    Yang, Yan
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2007, : 422 - 428
  • [25] Multi-objective optimisation of a logistics area in the context of factory layout planning
    Lind, Andreas
    Pascual, A. Iriondo
    Hanson, L.
    Hogberg, D.
    Lamkull, D.
    Syberfeldt, A.
    PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL, 2024, 12 (01):
  • [26] Multi-Objective Security Hardening Optimisation for Dynamic Networks
    Enoch, Simon Yusuf
    Hong, Jin B.
    Ge, Mengmeng
    Khan, Khaled M.
    Kim, Dong Seong
    ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2019,
  • [27] A dynamic multi-objective approach for the reconfigurable multi-facility layout problem
    Azevedo, Maria Manuela
    Crispim, Jose Antonio
    de Sousa, Jorge Pinho
    JOURNAL OF MANUFACTURING SYSTEMS, 2017, 42 : 140 - 152
  • [28] An Evolutionary Approach for Bilevel Multi-objective Problems
    Deb, Kalyanmoy
    Sinha, Ankur
    CUTTING-EDGE RESEARCH TOPICS ON MULTIPLE CRITERIA DECISION MAKING, PROCEEDINGS, 2009, 35 : 17 - 24
  • [29] Interactive bilevel multi-objective decision making
    Shi, X
    Xia, H
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 1997, 48 (09) : 943 - 949
  • [30] Multi-Objective BiLevel Optimization by Bayesian Optimization
    Dogan, Vedat
    Prestwich, Steven
    ALGORITHMS, 2024, 17 (04)