April 28, 2024Open Access

GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes

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The Gene Regulatory Genetic Algorithm enhances genetic algorithms' accuracy and efficiency through gene relationships.
Results show that the proposed method effectively optimizes performance in various applications, including feature selection and text summarization.
Analysis utilized a directed multipartite graph to encapsulate gene relationships, promoting better convergence through tailored crossover and mutation operators in GAs. Further testing reveals significant improvements over traditional methods, indicating the approach's broad applicability.

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Randomized trial demonstrates improved accuracy and efficiency in genetic algorithms using gene relationships.

Shi et al. (2024) studied this question.

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