Employing Genetic Algorithm in Finding the Best Linear Regression Model
DOI:
https://doi.org/10.31272/jae.i138.1126Keywords:
Genetic algorithm, Artificial IntelligenceAbstract
In this study, we review the importance of using the genetic algorithm, which is considered one of the most significant modern artificial intelligence techniques, in solving problems related to linear regression analysis and finding the best solutions (new generations) that possess higher fitness and accuracy. Moreover, introducing new mutations in the generations plays a crucial role in improving the results, and the article has focused on this aspect.
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References
Ban, A. H., & Hamsa, M. M. T. (2019). Using genetic algorithm in solving the transportation problem. University of Mosul – College of Computer Science and Mathematics – Department of Statistics.
2. Tri Suratno, Niken Rarasati, Gusmmanely Z (2019), Mathematics Department, Fakultas Sains dan Teknologi, Universitas Jambi, Indonesia,” Optimization of Genetic Algorithm for Implementation Designing and Modeling in Academic Scheduling “.
3. Muhammad Rateb Habbab (2021), Syrian Arab Republic
Higher Institute for Applied Sciences and Technology
Department of Informatics,” University Schedules Generation Based on Genetic Algorithm and Machine Learning Techniques”.
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Copyright (c) 2024 Fatima Hassan Akool, Hussam Abdul-Razzaq Rashid
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