Robust forensic-based investigation algorithm for resource leveling in multiple projects

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