Demolition scheduling, where material circularity is prioritized, has the twin goals of sequencing the order of works done and assigning the correct labour teams to do this work, while minimizing cost and time. The topics of Building Information Modelling and Evolutionary Algorithms have been studied at length separately, however, this paper explores the potential of their joint use in the creation of a new way to optimize the aforementioned goals. The paper proposes a method of performing schedule and multi-objective resource optimization based on IFC models and with the use of a precedence matrix. A chromosome repair strategy is created, whereby the domain knowledge carried within the precedence matrix is incorporated into the fitness function, using which NSGA-II generates multiple results bearing optimal schedules that consider both costs and time. This method is then successfully implemented on a case study of a high-rise building. The findings show the potential of the proposed method for demolition scheduling, and proposals are made for strategies to build upon this method.