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Implement of Students Result by Using Genetic Algorithm

Abhishek Katiyar1 , Anil Pandey2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-12 , Page no. 51-56, Dec-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i12.5156

Online published on Dec 31, 2019

Copyright © Abhishek Katiyar, Anil Pandey . 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.

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IEEE Style Citation: Abhishek Katiyar, Anil Pandey, “Implement of Students Result by Using Genetic Algorithm,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.12, pp.51-56, 2019.

MLA Style Citation: Abhishek Katiyar, Anil Pandey "Implement of Students Result by Using Genetic Algorithm." International Journal of Computer Sciences and Engineering 7.12 (2019): 51-56.

APA Style Citation: Abhishek Katiyar, Anil Pandey, (2019). Implement of Students Result by Using Genetic Algorithm. International Journal of Computer Sciences and Engineering, 7(12), 51-56.

BibTex Style Citation:
@article{Katiyar_2019,
author = {Abhishek Katiyar, Anil Pandey},
title = {Implement of Students Result by Using Genetic Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2019},
volume = {7},
Issue = {12},
month = {12},
year = {2019},
issn = {2347-2693},
pages = {51-56},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4973},
doi = {https://doi.org/10.26438/ijcse/v7i12.5156}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i12.5156}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4973
TI - Implement of Students Result by Using Genetic Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - Abhishek Katiyar, Anil Pandey
PY - 2019
DA - 2019/12/31
PB - IJCSE, Indore, INDIA
SP - 51-56
IS - 12
VL - 7
SN - 2347-2693
ER -

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Abstract

The artificial intelligence technique such as Genetic algorithm plays a significant role for handling in many fields such as artificial intelligence, engineering, robotic, etc. This is the technique to evaluate the new populations from natural population and provide the best result generation to generation. This is applied in students’ quantitative data analysis to identify the most impact factor in their performance in their curriculum. The results will help the educational institutions to improve the quality of teaching after evaluating the marks achieved by the students’ in academic career. This student analysis model considers the quantitative factors such as compiler, automata, data structure and other departmental marks to find the most impacting factor using genetic algorithm.

Key-Words / Index Term

students’ performance, quantitative factors, genetic algorithm, influencing parameter, student’s evaluation results

References

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