摘要
装配式建筑集成建造方式具有非同步、相互关联特征,因此传统调度方法难以适用。本文在多过程关联协同调度前提下,考虑到装配式建筑建设过程中资源波动与不确定因素影响,以及在实际工程中存在工期不同的多种施工模式,构建基于资源均衡与鲁棒性的多模式调度优化模型,并设计了基于动态选择策略的非支配遗传算法以求解各工序最优开始时间及执行模式。通过案例分析验证了模型和算法的有效性,结果表明该算法在覆盖率和分布性上均优于其他算法。此外,阐述了该模型与方法在实际项目中的应用价值。
The integrated construction method of prefabricated buildings is asynchronous and interconnected;therefore, traditional scheduling methods are not suitable for prefabricated projects. This study constructs a multi-mode scheduling optimization model based on resource leveling and robustness under the premise of multi-process connectedly collaborative scheduling, considering the influence of resource fluctuations and uncertainties during the construction of prefabricated buildings, as well as the existence of multiple modes of processes with different durations in practical projects. The Non-dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ) is designed based on a dynamic selection strategy to determine the optimal start time and execution mode for each process. The effectiveness of the model and algorithm is verified by a case study. The results show that the algorithm outperforms other algorithms in terms of coverage and distributivity. In addition, the application value of the model and method in practical projects is explained.
作者
袁剑波
彭泽惠
毛红日
Yuan Jianbo;Peng Zehui;Mao Hongri(School of Traffic and Transportation Engineering,Changsha University of Science and Technology,Changsha 410114,China)
基金
湖南省交通运输厅科技进步与创新项目(202039)
湖南省研究生科研创新项目(CX20200826)。
关键词
装配式建筑
资源均衡
鲁棒性
非支配遗传算法
prefabricated buildings
resource leveling
robustness
Non-dominated Sorting Genetic Algorithm(NSGA)
