An Analysis of Students Performance Using Genetic Algorithm

T. Miranda Lakshmi¹, A. Martin^2, and V. Prasanna Venkatesan²

¹Department of Computer Science, Bharathiyar University, Coimbatore, India

²Department of Banking Technology, Pondicherry University, Puducherry, India

Cite this paper:
T. Miranda Lakshmi, A. Martin and V. Prasanna Venkatesan. An Analysis of Students Performance Using Genetic Algorithm. Journal of Computer Sciences and Applications. 2013; 1(4):75-79. doi: 10.12691/jcsa-1-4-3

Abstract

Genetic algorithm plays a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc. The genetic processes on the natural evolution principles of populations have been fairly successful at solving problems and produce optimized solution from 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 theoretical, mathematical, practical, departmental and other departmental marks to find the most impacting factor using real genetic algorithm.

Keywords:
students’ performance quantitative factors real genetic algorithm impact factor evaluation results

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