Adaptive hybrid optimization for integrated project scheduling and staffing problem with time/resource trade-offs

• Proposes a dual-objective optimization model for the Integrated Project Scheduling and Personnel Staffing Problem (IPSPSP) with time/resource trade-offs.
•Introduces an adaptive hybrid algorithm combining NSGA-II and MOPSO to optimize project duration and personnel cost.
•Utilizes hybrid encoding for activity modes, activity priority lists, and personnel allocation plans to generate project schedules and personnel allocation plans.
•Employs a hypervolume-based adaptive search mechanism to improve solution quality.
•Experimental results show the proposed hybrid algorithm outperforms standalone NSGA-II and MOPSO in scheduling and resource optimization.