Construction Site Layout Planning Using Multiple-Level Simulated Annealing

被引:0
|
作者
Jiang, Hui [1 ]
Miao, YaBo [2 ]
机构
[1] CTO Off Glodon, Beijing, Peoples R China
[2] Technol Ctr Glodon, Beijing, Peoples R China
来源
关键词
Construction site layout planning; Simulated annealing; Artificial intelligence; Architectural layout; Generative design;
D O I
10.1007/978-3-030-80126-7_30
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Construction Site Layout Planning (CSLP) has always been a very challenging issue in the field of architecture technology. Generative Design that has gradually emerged in recent years provides a new perspective for solving CLSP problems. Simulated Annealing is one of the main algorithms in Generative Design, and it can quickly find the optimal solution that satisfies the conditions through multiple loop iterations. This paper attempts to use a multiple-level simulated annealing algorithm to solve a type of problem in CSLP, which is to find the optimal planning of tower cranes and material yards in the construction site. For one thing, according to the business rules of the construction site and the input drawings, this paper optimizes the definition domain of the coordinates of the tower cranes and the material yards by using the proposed buildings and roads on the drawing. For another, according to the business independence of the tower cranes and the material yards, the paper divides the algorithm into two steps for optimization rather than simultaneous calculation. The above two improvements to the simulated annealing algorithm greatly improve the efficiency of the algorithm and reduce the complexity. The results of the tests are shown, and the difficulty of selecting weights of sub-functions is also proposed at the end of the paper.
引用
收藏
页码:398 / 407
页数:10
相关论文
共 50 条
  • [1] Optimization for Construction Site Layout Planning with Multiple Constraints Using an Evolutionary Algorithm
    El Desouky, N.
    El Masry, A.
    Magdy, O.
    Hosny, O.
    Essawy, Y.
    Shiha, A.
    PROCEEDINGS OF THE CANADIAN SOCIETY FOR CIVIL ENGINEERING ANNUAL CONFERENCE 2023, VOL 5, CSCE 2023, 2024, 499 : 421 - 435
  • [2] A class of genetic algorithms for multiple-level warehouse layout problems
    Zhang, GQ
    Xue, J
    Lai, KK
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2002, 40 (03) : 731 - 744
  • [3] Optimisation of site layout planning for multiple construction stages with safety considerations and requirements
    Huang, C.
    Wong, C. K.
    AUTOMATION IN CONSTRUCTION, 2015, 53 : 58 - 68
  • [4] A Safety Model for Construction Site Layout Planning Using an ACO Algorithm
    Ning, Xin
    Liu, Wenhan
    ICCREM 2015: ENVIRONMENT AND THE SUSTAINABLE BUILDING, 2015, : 28 - 32
  • [5] MULTIOBJECTIVE FACILITY LAYOUT USING SIMULATED ANNEALING
    SURESH, G
    SAHU, S
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1993, 32 (02) : 239 - 254
  • [6] Layout optimisation of trusses using simulated annealing
    Hasançebi, O
    Erbatur, F
    ADVANCES IN ENGINEERING SOFTWARE, 2002, 33 (7-10) : 681 - 696
  • [7] Layout optimization of trusses using simulated annealing
    Hasancebi, O
    Erbatur, F
    COMPUTATIONAL ENGINEERING USING METAPHORS FROM NATURE, 2000, : 175 - 190
  • [8] Reducing Construction Dust Pollution by Planning Construction Site Layout
    Tao, Guowu
    Feng, Jingchun
    Feng, Haibo
    Feng, Hui
    Zhang, Ke
    BUILDINGS, 2022, 12 (05)
  • [9] Construction site layout planning using GIS overlay analysis—A case study
    Atmaca M.
    Akcay C.
    Arabian Journal of Geosciences, 2021, 14 (7)
  • [10] Construction Site Layout Planning Problem Using Metaheuristic Algorithms: A Comparative Study
    Ali Kaveh
    Yasin Vazirinia
    Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2019, 43 : 105 - 115