Automated aggregation of dwelling units and traffic cores in high-rise residential floor plans using genetic algorithm and multi-agent cooperative deep Q-network
IF 9.6 1区 工程技术Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Xuhong Zhou , Gan Luo , Yunzhu Liao , Liang Feng , Jiepeng Liu , Hongtuo Qi , Kehong Li
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引用次数: 0
Abstract
With the increasing demand for high-rise residential buildings (HRBs), traditional manual design processes involving multiple revisions and expertise encounter design efficiency challenge. Although several approaches have been proposed to automatically generate HRB standard floors using predefined component libraries, adaptive solutions across diverse design scenarios remain limited. This paper presented an automated aggregation method for dwelling units and traffic cores to construct complete standard floor plans using a genetic algorithm (GA) and multi-agent cooperative deep Q-network (MACDQN). First, dwelling units and traffic cores are represented using information masks and vectors. Then, GA is introduced to optimize the orientation of dwelling units. Finally, MACDQN is proposed to automatically aggregate dwelling units and traffic cores while meeting various design objectives. A comprehensive empirical study confirms the efficiency of the proposed method in producing practical and innovative layouts from authentic designs for various objectives, highlighting its potential to advance HRB floor plan design automation.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.