基于共生生物算法的装配式建筑塔吊布局优化研究  

RESEARCH ON LAYOUT OPTIMIZATION OF PREFABRICATED BUILDING TOWER CRANE BASED ON SYMBIOTIC ORGANISM SEARCH ALGORITHM

作　　者：汪和平[1] 袁睿晗 WANG He-ping;YUAN Rui-han(School of Management Science and Engineering,Anhui University of Technology,Ma’anshan 243002,China)

机构地区：[1]安徽工业大学管理科学与工程学院,安徽马鞍山243002

出　　处：《南阳理工学院学报》2022年第6期7-14,59,共9页Journal of Nanyang Institute of Technology

基　　金：国家自然科学基金资助项目(71872002)。

摘　　要：塔吊位置布局是装配式施工项目的核心,文章主要基于预制构件的类型、重量、分布并综合考虑预制构件的类型分布、塔吊吊装成本、吊装效率、任务分配、塔吊覆盖率、塔吊重叠区域等多种因素影响,建立了以吊装成本和吊装效率为主的塔吊位置布局优化模型,采用改进共生生物搜索算法(IM-MOSOS)对模型进行求解,并基于调研数据进行验证分析。通过案例验证了模型的准确性和有效性,将改进共生生物搜索算法与原共生生物搜索算法和NSGAⅡ算法相比较发现,改进后的算法具有较快的运行速度和良好的分布性。The location layout of the tower crane directly affects the hoisting of prefabricated components and is also the core of the prefabricated construction project. In the actual hoisting construction, it is necessary to comprehensively consider the type distribution of prefabricated components, hoisting cost, hoisting efficiency, task allocation, tower crane coverage, tower crane overlap area, etc. factors to achieve the layout optimization of the tower crane position in the prefabricated building. Based on the type, weight and distribution of prefabricated components, this paper establishes a multi-objective tower crane location layout optimization model based on hoisting cost and hoisting efficiency. The improved symbiotic organism search algorithm(IM-MOSOS) is used to solve the model. Validation analysis was performed.

关 键 词：装配式建筑 塔吊布局优化 预制构件类型 共生生物搜索算法 

分 类 号：TU61[建筑科学—建筑技术科学]