吉林大学学报(工学版) ›› 2025, Vol. 55 ›› Issue (8): 2651-2656.doi: 10.13229/j.cnki.jdxbgxb.20240781

• 交通运输工程·土木工程 • 上一篇    

基于萤火虫算法的多层建筑物公共设施利用优化设计

李晓英(),陈巧慧,万乐   

  1. 湖北工业大学 工业设计学院,武汉 430000
  • 收稿日期:2024-07-15 出版日期:2025-08-01 发布日期:2025-11-14
  • 作者简介:李晓英(1973-),女,教授,博士.研究方向:交互与信息产品设计,用户研究与体验设计,人机工程设计应用.E-mail:c15981977897@126.com
  • 基金资助:
    国家自然科学基金项目(51605352);湖北工业大学研究生专项项目(校2020048);教育部产学合作协同育人基金项目(202002255007)

Optimization design of multi story building public facilities utilization based on firefly algorithm

Xiao-ying LI(),Qiao-hui CHEN,Le WAN   

  1. School of Hubei University of Technology Industrial Design,Wuhan 430000,China
  • Received:2024-07-15 Online:2025-08-01 Published:2025-11-14

摘要:

多层建筑物的空间通常有限,如何在有限的空间内合理布局公共设施,满足不同用户群体的需求是一个挑战,为此,本文提出一种基于萤火虫算法的多层建筑物公共设施利用优化设计方法。将使用效率最大化、公平最大化以及覆盖范围最大化作为优化目标,建立公共设施利用优化模型,采用萤火虫算法获取模型最优解,以此实现多层建筑物公共设施利用优化设计。实验结果表明,本文方法具有较高的使用效率、公平性及覆盖范围,说明该方法的规划结果能确保公共资源得到合理利用,服务能惠及目标人群,并且能覆盖尽可能广泛的地理区域。

关键词: 多层建筑物, 公共设施利用优化, 萤火虫算法, 使用效率, 覆盖范围

Abstract:

The space of multi story buildings is usually limited, and how to reasonably layout public facilities within the limited space to meet the needs of different user groups is a challenge. Therefore, this paper proposes an optimization design method for the utilization of public facilities in multi story buildings based on firefly algorithm. Establishing a public facility utilization optimization model with the optimization objectives of maximizing efficiency, fairness, and coverage, and using firefly algorithm to obtain the optimal solution of the model, in order to achieve the optimization design of public facility utilization in multi story buildings. The experimental results show that the proposed method has high efficiency, fairness, and coverage, indicating that the planning results of this method can ensure the rational utilization of public resources, benefit the target population, and cover the widest possible geographical area.

Key words: multi story buildings, optimization of public facility utilization, firefly algorithm, efficiency of use, coverage range

中图分类号: 

  • TU984

表1

算法参数设置"

参 数数值
萤火虫数量/个100
光强吸收系数1
步长因子0.2
最大吸引度2
步长下降因子0.98
最大迭代次数100

图1

基尼系数"

图2

覆盖范围"

表2

使用效率"

公共设

施编号

出行路径/m
萤火虫算法最优供需分配方法PSPL调研法
13 2156 2545 618
23 1564 3155 584
33 0785 6296 305
43 6296 0356 145
53 4516 1575 831
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