Reinforcement learning for sustainable construction scheduling: a many-objective framework with adaptive search and multi-criteria decision support
Purpose Delivering construction projects sustainably requires reconciling duration, cost, carbon emissions and the stability and utilization of site resources, yet these objectives conflict and the choice among candidate schedules is seldom made on an explicit, data-driven basis. This study aims to develop a data-drive...