Abstract Heuristic algorithms have been known to be the most common and effective methods to solving the classical course scheduling problem which has been found to be a nondeterministic polynomial time hard problem. Many software systems have been built on these algorithms to provide a standard and working solution. This paper seeks to look at the gaps of these solutions and propose a newer one which would potentially simplify the process of course scheduling and provide an even more effective solution within the scope of Ghana. This paper provides a course scheduling web application which implements a genetic algorithm as a solution
Jr, E (2021). GENERAL COURSE SCHEDULING APPLICATION. Afribary. Retrieved from https://tracking.afribary.com/works/general-course-scheduling-application
Jr, Ernest "GENERAL COURSE SCHEDULING APPLICATION" Afribary. Afribary, 21 Mar. 2021, https://tracking.afribary.com/works/general-course-scheduling-application. Accessed 20 Sep. 2024.
Jr, Ernest . "GENERAL COURSE SCHEDULING APPLICATION". Afribary, Afribary, 21 Mar. 2021. Web. 20 Sep. 2024. < https://tracking.afribary.com/works/general-course-scheduling-application >.
Jr, Ernest . "GENERAL COURSE SCHEDULING APPLICATION" Afribary (2021). Accessed September 20, 2024. https://tracking.afribary.com/works/general-course-scheduling-application