Prefabricated construction has become an increasingly important focus area in the development of the construction industry. Determining an optimal construction process scheduling program is an urgent challenge during the project execution stage. This paper presents a multi-objective optimization problem with the objective function of minimizing the total construction time and maximizing the coordinated scheduling coefficient, and proposes a non-dominated sorting genetic algorithm based on the subspecies differentiation strategy (SD-NSGA) to solve the problem. The algorithm extends the competition phenomenon at the individual level to the subpopulation level in the traditional genetic algorithm (GA). The results demonstrate that SD-NSGA exhibits superior optimization capabilities. Compared with the initial scheme of a real residential construction project, the total working time is shortened by 35.49% and the integrated dispatch factor is increased by 365.79%. Therefore, the proposed algorithm can offer a valuable reference for determining scheduling plans in practical engineering projects.11Code is available: https://github.com/windw0/SD-NSGA/.

中文翻译：

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基于多目标优化算法的装配式建筑过程调度


装配式建筑已成为建筑行业发展中越来越重要的重点领域。在项目执行阶段，确定最佳的施工流程调度程序是一项紧迫的挑战。该文提出了一个目标函数为最小化总构建时间和最大化协同调度系数的多目标优化问题，并提出了一种基于亚种分化策略（SD-NSGA）的非支配排序遗传算法来解决该问题。该算法将个体水平的竞争现象扩展到传统遗传算法 （GA） 中的亚群水平。结果表明，SD-NSGA 表现出卓越的优化能力。与实际住宅建设项目的初始方案相比，总工作时间缩短了 35.49%，综合调度系数提高了 365.79%。因此，所提算法可为实际工程项目中确定调度计划提供有价值的参考。11代码可用：https://github.com/windw0/SD-NSGA/。