An SHO-based approach to timetable scheduling: a case study

University timetable scheduling, which is a typical problem that all universities around the world have to face every semester, an NP-hard problem. It task of allocating right timeslots and classrooms for various courses by taking into account predefined constraints. In current literature, many approaches been proposed find feasible timetables. Among others, swarm-based algorithms are promising candidates because their effectiveness flexibility. This paper investigates proposing approach university scheduling using recent novel algorithm named Spotted Hyena Optimizer (SHO) inspired hunting behaviour spotted hyenas. Then, combination SA SHO also investigated improve overall performance method. We illustrate method on real-world timetabling in Vietnam. Experimental results indicated efficiency comparison other competitive metaheuristic such as PSO finding