Open AccessLecture Scheduling Automation Using Genetic Algorithm
Author(s) -
Herman Herman,
Lukman Syafie,
Dirgahayu Lantara
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e1210.0585c19
Subject(s) - computer science , scheduling (production processes) , schedule , genetic algorithm , automation , job shop scheduling , mathematical optimization , operations research , algorithm , machine learning , mathematics , engineering , operating system , mechanical engineering
This paper aims produce an academic scheduling system using Genetic Algorithm (GA) to solve the academic schedule. Factors to consider in academic scheduling are the lecture to be held, the available room, the lecturers and the time of the lecturer, the suitability of the credits with the time of the lecture, and perhaps also the time of Friday prayers, and so forth. Genetic Algorithms can provide the best solution for some solutions in dealing with scheduling problems. Based on the test results, the resulting system can automate the scheduling of lectures properly. Determination of parameter values in Genetic Algorithm also gives effect in producing the solution of lecture schedule