Unstructured and variable construction sites bring challenges that can be addressed with the adoption of the flexible earthwork scheduling problem (FESP), which requires consideration of mechanical parameters, automated construction techniques, and site constraints. This paper describes the use of the non-dominated sorting genetic algorithm (NSGA-III) for such problems, yielding better results than the NSGA-II and strength pareto evolutionary algorithm (SPEA). This method produces a set of Pareto-optimal results for each case study, which are then ranked by the analytic hierarchy process (AHP) method to determine an optimal scheduling scheme. The results help project managers and dispatchers by automating the schedule process and by graphically analyzing the solutions”.

非结构化和多变的施工现场带来的挑战可以通过采用灵活的土方工程调度问题 (FESP) 来解决，这需要考虑机械参数、自动化施工技术和现场限制。本文描述了使用非支配排序遗传算法（NSGA-III）来解决此类问题，比NSGA-II和强度帕累托进化算法（SPEA）产生更好的结果。该方法为每个案例研究生成一组帕累托最优结果，然后通过层次分析法 (AHP) 方法对其进行排序以确定最优调度方案。结果通过自动化进度流程和图形分析解决方案来帮助项目经理和调度员”。