Lecture Schedule on Accounting Computer Department of Indonesia Computer University Using Genetic Algorithm

DOI

10.2991/icobest-18.2018.89How to use a DOI?

Keywords

lecture schedule, Accounting, genetic algorithm

Abstract

The aim of this research is to obtain the best combination of scheduling of courses and lecturers but does not violate the constraints of the Accounting Computer Department of Indonesia Computer University. Hence the need considered various aspects that affect scheduling of courses. From the aspect of lecturers, we need to consider to the possibility of the lecturer in question cannot be taught because the other academic activities, lecturer teaching more than one subject on the same day and same hour and lecturers already have a schedule of teaching in the Department of another. These problems included in the NP-Hard Problem (Nondeterministic Polynomial time), namely the entire alternative combinations should be tested. This research uses genetic algorithms approach namely computational approach is to solve a problem that is modeled with the biological processes of evolution. Genetic algorithm will represent the solutions using genetic operations such as crossover and mutation. The result of this genetic algorithm shows the best fitness value one which means there is no breach of a hard constraint. The best combination with making no use of high-frequency space and no lecturer teaching the high frequency.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Doddy Maulana Yusuf
PY  - 2018/11
DA  - 2018/11
TI  - Lecture Schedule on Accounting Computer Department of Indonesia Computer University Using Genetic Algorithm
BT  - Proceedings of the International Conference on Business, Economic, Social Science and Humanities (ICOBEST 2018)
PB  - Atlantis Press
SP  - 402
EP  - 404
SN  - 2352-5398
UR  - https://doi.org/10.2991/icobest-18.2018.89
DO  - 10.2991/icobest-18.2018.89
ID  - MaulanaYusuf2018/11
ER  -