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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Variable Reduction-based Prediction through Modified Genetic Algorithm

Author 1: Allemar Jhone P. Delima
Author 2: Ariel M. Sison
Author 3: Ruji P. Medina

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100544

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.

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Abstract: Due to the massive influence in the use of prediction models in different sectors of society, many researchers have employed hybrid algorithms to increase the accuracy level of the prediction model. The literature suggests that the use of Genetic Algorithms (GAs) can sufficiently improve the performance of other prediction models; thus, this study. This paper introduced a new avenue of prediction integrating GA with the novel Inversed Bi-segmented Average Crossover (IBAX) operator paired with rank-based selection function to the KNN algorithm. The 70% of data from 597 records of student-respondents in the evaluation of the faculty instructional performance from the four State Universities and Colleges (SUC) in Caraga Region, Philippines were used as training set while the 30% was used for testing. The simulation result showed that the use of the proposed prediction model with the integration of the modified GA outperformed the KNN prediction model where GA with average crossover and roulette wheel selection function was used. The KNN where k value is three (3) was identified to be the optimal model for prediction with the 95.53% prediction accuracy compared to KNN with 1, 5, and 7 k values.

Keywords: Enhanced prediction model; IBAX operator; modified genetic algorithm; prediction accuracy enhancement

Allemar Jhone P. Delima, Ariel M. Sison and Ruji P. Medina, “Variable Reduction-based Prediction through Modified Genetic Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100544

@article{Delima2019,
title = {Variable Reduction-based Prediction through Modified Genetic Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100544},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100544},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Allemar Jhone P. Delima and Ariel M. Sison and Ruji P. Medina}
}


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