首页> 外文会议>Creative Construction Conference >BIM-based Applications of Metaheuristic Algorithms to Support the Decision-making Process: Uses in the Planning of Construction Site Layout
【24h】

BIM-based Applications of Metaheuristic Algorithms to Support the Decision-making Process: Uses in the Planning of Construction Site Layout

机译:基于BIM的Metaheuristic算法应用支持决策过程:用于施工现场布局的规划

获取原文

摘要

The use of Building Information Modeling (BIM) is affecting the way in which construction projects are planned, designed, executed and operated. One of the main goals of BIM is to provide, based on a 3D model, an accurate information model in a digital format to give different project participants better tools when evaluating different options to support their decisions about the project at a given phase. With this in mind, BIM provides a suitable framework to support the decision-makings process by aggregating the necessary information at the right time, and clarifying details and existing conditions; however, the different elements required to make an optimized decision need additional consideration. To address that, this paper explores the value of metaheuristic algorithms for reaching an optimized solution. The use of metaheuristic algorithms is well known in various aspects of knowledge optimization. This paper provides an overall review of the applications of metaheuristic algorithms in BIM-based optimized decisions in the construction industry and focuses on applications to the planning of construction site layout. Based on the findings from this paper, research gaps in this area have been identified and suggestions for future research to address those gaps are suggested.
机译:建筑信息建模(BIM)的使用正在影响计划,设计,执行和操作的建设项目的方式。 BIM的主要目标之一是基于3D模型提供数字格式的准确信息模型,以提供不同的项目参与者在评估不同选项时提供更好的工具,以支持对给定阶段的项目决策。考虑到这一点,BIM通过在合适的时间汇总必要的信息,并澄清细节和现有条件,提供合适的框架来支持决策制备过程;但是,使优化决策所需的不同元素需要额外考虑。为了解决这个问题,探讨了实现优化解决方案的成群质算法的价值。在知识优化的各个方面,使用成群质算法是众所周知的。本文对施工行业的基于BIM的优化决策中的成群质识别算法进行了总体审查,并专注于施工现场布局规划的应用。根据本文的研究结果,已经确定了该地区的研究差距,并提出了未来研究以解决这些差距的研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号