LAUSR

19 The project managers often face challenging due to a scarcity of resources in construction 20 management. Levelling the used resources in multiple projects is a frequently encountered 21 problem in construction areas and manufacturing sectors. This study proposes a robust 22 forensic-based investigation (FBI) algorithm for resource leveling in multiple projects with 23 considerations of different objective functions of resource graphs. The fuzzy c-means 24 clustering approach is fused into the main operation of the FBI to enhance the rate of 25 convergence by utilizing population information. The scheduling examines different objective 26 functions for optimizing resource profile selection. Two application case studies are used to demonstrate the performance of the improved optimization algorithm in dealing with the 28 resource-leveling problem in multiple projects. Experimental findings and statistical 29 comparisons demonstrated that the developed FFBI could acquire high quality solutions and 30 surpass those of compared optimization algorithms.