There are several factors that bring impacts to the efficiency and complexity of the algorithms such as; execution time, memory consumption and other resources used. With the rapid development of technology and the emergence of new technologies, more methodologies have been adopted to enhance computational methods and address the challenges associated with algorithms. The purpose of this research aims to compare traditional sorting algorithms with AI-enhanced algorithms under various scenarios, including random, sorted data, and reverse sorted data by using Python programming language. The results showed that AI-enhanced algorithms outperform random and pre-sorted data, while traditional algorithms performed better when processing reverse sorted data.

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Investigation of the Impact of AI Tools on Algorithm from the Efficiency and Complexity Perspective Point of View

  • Hamed Fawareh,
  • Moath Alomari

摘要

There are several factors that bring impacts to the efficiency and complexity of the algorithms such as; execution time, memory consumption and other resources used. With the rapid development of technology and the emergence of new technologies, more methodologies have been adopted to enhance computational methods and address the challenges associated with algorithms. The purpose of this research aims to compare traditional sorting algorithms with AI-enhanced algorithms under various scenarios, including random, sorted data, and reverse sorted data by using Python programming language. The results showed that AI-enhanced algorithms outperform random and pre-sorted data, while traditional algorithms performed better when processing reverse sorted data.