Automatic Timetable Generator Using Genetic Algorithm

Bhavadharani Swaminadhan Prabhakaran; Maheswari Shanmugam; Chaaru Bhala Karunakaran; Bhumika Murugesan; Deepalakshmi Manimaran

doi:10.2991/978-94-6463-250-7_16

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Automatic Timetable Generator Using Genetic Algorithm

Authors

Bhavadharani Swaminadhan Prabhakaran¹^{, *}, Maheswari Shanmugam², Chaaru Bhala Karunakaran³, Bhumika Murugesan⁴, Deepalakshmi Manimaran⁵

¹Dept of ECE, Panimalar Engineering College, Chennai, India

²Dept of ECE, Panimalar Engineering College, Chennai, India

³Dept of ECE, Panimalar Engineering College, Chennai, India

⁴Dept of ECE, Panimalar Engineering College, Chennai, India

⁵Dept of ECE, Panimalar Engineering College, Chennai, India

^*Corresponding author. Email: spbhavubeece@gmail.com

Corresponding Author

Bhavadharani Swaminadhan Prabhakaran

Available Online 17 October 2023.

DOI: 10.2991/978-94-6463-250-7_16 How to use a DOI?
Keywords: Genetic Algorithm; Selection; Cross over; Fitness
Abstract: Timetable creation could be a very difficult and time-engrossing function. Forming a timetable takes parts of tolerance and hours. Time table is created for different purposes like organizing schools and colleges, making time charts for preparation and transport plans, and numerous more. Creating a timetable requires considerable time and supervision. In our paper, we have seeks to shrink these challenges of creating a timetable by Genetic algorithm. By utilizing genetic algorithms, are ready to develop a schedule that is more accurate, exact, and free of human errors while also reducing the time needed to do so. The elementary stage is made up of all the common compulsory classes that have been developed and organized by a centralized body. The individual’s departmental courses are found in the next phase. Directly this timetable is ready physically, by controlling those of prior a long time, with the as it were the point of creating a realistic timetable.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
Series: Advances in Computer Science Research
Publication Date: 17 October 2023
ISBN: 978-94-6463-250-7
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-250-7_16 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Bhavadharani Swaminadhan Prabhakaran
AU  - Maheswari Shanmugam
AU  - Chaaru Bhala Karunakaran
AU  - Bhumika Murugesan
AU  - Deepalakshmi Manimaran
PY  - 2023
DA  - 2023/10/17
TI  - Automatic Timetable Generator Using Genetic Algorithm
BT  - Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
PB  - Atlantis Press
SP  - 84
EP  - 89
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-250-7_16
DO  - 10.2991/978-94-6463-250-7_16
ID  - Prabhakaran2023
ER  -

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