UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2305B98


Registration ID:
517540

Page Number

l715-l718

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Title

Automatic Timetable Generator Using Genetic Algorithm

Abstract

Automatic timetable generation is a challenging task, particularly for large educational institutions. The use of Genetic Algorithm (GA) has become an increasingly popular method for creating optimal timetables due to its ability to handle complex scheduling problems. GA works by simulating the process of natural selection, producing multiple solutions and selecting the fittest ones for further optimization. The use of GA in automatic timetable generation has been shown to produce efficient and effective schedules that meet the needs of all stakeholders. This paper provides a comprehensive review of the current literature on automatic timetable generation using GA and presents a case study to demonstrate the effectiveness of this approach.

Key Words

optimization, genetic algorithm, scheduling, efficiency, and organization.

Cite This Article

"Automatic Timetable Generator Using Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l715-l718, May-2023, Available :http://www.jetir.org/papers/JETIR2305B98.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Automatic Timetable Generator Using Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl715-l718, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B98.pdf

Publication Details

Published Paper ID: JETIR2305B98
Registration ID: 517540
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: l715-l718
Country: HYDERABAD, TELANGANA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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