Open Access   Article Go Back

Scheduling Time Slots for Class Conduction Using Genetic Algorithm

Vinodh P Vijayan1 , Neena Joseph2 , Neema George3 , Simy Mary Kurian4

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-12 , Page no. 334-338, Dec-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i12.334338

Online published on Dec 31, 2017

Copyright © Vinodh P Vijayan, Neena Joseph, Neema George, Simy Mary Kurian . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Vinodh P Vijayan, Neena Joseph, Neema George, Simy Mary Kurian, “Scheduling Time Slots for Class Conduction Using Genetic Algorithm,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.334-338, 2017.

MLA Style Citation: Vinodh P Vijayan, Neena Joseph, Neema George, Simy Mary Kurian "Scheduling Time Slots for Class Conduction Using Genetic Algorithm." International Journal of Computer Sciences and Engineering 5.12 (2017): 334-338.

APA Style Citation: Vinodh P Vijayan, Neena Joseph, Neema George, Simy Mary Kurian, (2017). Scheduling Time Slots for Class Conduction Using Genetic Algorithm. International Journal of Computer Sciences and Engineering, 5(12), 334-338.

BibTex Style Citation:
@article{Vijayan_2017,
author = {Vinodh P Vijayan, Neena Joseph, Neema George, Simy Mary Kurian},
title = {Scheduling Time Slots for Class Conduction Using Genetic Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2017},
volume = {5},
Issue = {12},
month = {12},
year = {2017},
issn = {2347-2693},
pages = {334-338},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5498},
doi = {https://doi.org/10.26438/ijcse/v5i12.334338}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i12.334338}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5498
TI - Scheduling Time Slots for Class Conduction Using Genetic Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - Vinodh P Vijayan, Neena Joseph, Neema George, Simy Mary Kurian
PY - 2017
DA - 2017/12/31
PB - IJCSE, Indore, INDIA
SP - 334-338
IS - 12
VL - 5
SN - 2347-2693
ER -

VIEWS PDF XML
99 181 downloads 81 downloads
  
  
           

Abstract

Scheduling the class intervals using traditional methods like using on line spreadsheets is complicated and time consuming. The complexity will increase with more than one concern, pupil and teachers because the requirements become extra complex. It is tough to manage topics with multiple instructors or forming student businesses and assigning instructors. In addition, priority of topics or instructors, class hours are not taken into consideration for scheduling. Class scheduling using genetic algorithm, has been advanced to time table class rooms thinking about various resources and parameters. The proposed algorithm accepts diverse parameters like priority values for teachers and topics or elegance hours and give the satisfactory solution. Our new device makes the school room scheduling less difficult and also reduce the time required for scheduling.

Key-Words / Index Term

Scheduling, ComplexityIOT, fuzzylogic, genetic algorithm.

References

[1]. R. Lewis and J. Thompson, “Analysing the effects of solution space connectivity with an effective metaheuristic for the course timetabling problem,” European. Journal of Operation Research, vol. 240, no. 3, pp. 637–648, 2014.
[2]. A. El Amraoui, M.-A. Manier, A. El Moudni, and M. Benrejeb, “A genetic algorithm approach for a single hoist scheduling problem with time windows constraints,” Engineering Application of Artificial Intelligence, vol. 26, no. 7, pp. 1761–1771, 2013.
[3]. Rohit. P.S, S.M., “A Probability Based Object-Oriented Expert System for Generating Time-Table” International Journal of Research in Computer Applications & Information Technology, 2013. Volume 1( Issue 1): p. pp. 52-58
[4]. Mohammad, K.H., J, Problem-solving capacities of spiritual intelligence for artificial intelligence. Social and Behavioral Sciences, 2012: p. 170 – 175.
[5]. Isaai, M.T., Kanani, A., Tootoonchi, M., & Afzali, H. R. , Intelligent timetable evaluation using fuzzy AHP Expert Systems with Applications,, 2011. 38(4): p. 3718-3723.
[6]. David E Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning, 1st ed. Addison-Wesley Publishing Company, Inc, 1989, Ch. 1, pp. 1-2..