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Investigating the Efficiency of Genetic Algorithms in Optimization Problems
Abstract: Genetic Algorithms (GAs) have emerged as a powerful tool in solving optimization problems across various domains. This article aims to investigate the efficiency of genetic algorithms in solving optimization problems by examining their underlying principles, strengths, and limitations. We explore the historical context, key components, and the evolving trends in genetic algorithms. Additionally, we discuss the challenges faced by genetic algorithms and potential areas for future research.
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