Authors - G.L.H.B. Gaweshika, T.G.I. Fernando Abstract - Optimization has become an active research area nowadays in every field majoring in Computer Science. This research focuses on developing an Optimal Personal Study Plan (PSP) generation system utilizing Metaheuristic Algorithms, considering the specific requirements of an individual student for a degree program. The PSP generation problem can be considered as an NP-hard problem, highlighting the need for efficient meta-heuristic algorithms to tackle this optimization challenge. The novel contribution of this work lies in the de-sign of a Genetic Algorithm (GA) and a Hybridized Genetic Algorithm-based Firefly Algorithm (GA-FA) for the PSP generation. The developed metaheuristic-based approach presents a promising avenue for enhancing the personalized study plan concept for students and academic support systems.
