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Evolutionary Computing (EC), inspired by biological evolution, is transforming the artificial intelligence (AI) world by optimizing model architectures, tuning hyperparameters, and solving complex problems. This paper explores different EC applications in two key areas of Computer Science and Engineering & Education. Evolutionary methods enhance automation, improve efficiency, decrease time-intensive manual tasks, and eliminate the necessity of expert knowledge. Furthermore, evolutionary-based publication trends from 2010 to 2025 globally and then primarily in the USA and China are analyzed. This review highlights the impressive and growing impact of EC techniques in AI on solving real-world problems. Because of AI’s consistent contribution in various fields and devices, evolutionary AI offers promising approaches to tackle practical challenges.

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Evolutionary Computing Applications and Trends from 2010 to 2025: A Brief Review

  • 会议论文

  • 发表日期：

    2026年

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  • Afsaneh Shams,
  • Elika Bozorgi,
  • Mohammad Reza Nima Darbandi,
  • Soheyla Amirian,
  • Khaled Rasheed

摘要

Evolutionary Computing (EC), inspired by biological evolution, is transforming the artificial intelligence (AI) world by optimizing model architectures, tuning hyperparameters, and solving complex problems. This paper explores different EC applications in two key areas of Computer Science and Engineering & Education. Evolutionary methods enhance automation, improve efficiency, decrease time-intensive manual tasks, and eliminate the necessity of expert knowledge. Furthermore, evolutionary-based publication trends from 2010 to 2025 globally and then primarily in the USA and China are analyzed. This review highlights the impressive and growing impact of EC techniques in AI on solving real-world problems. Because of AI’s consistent contribution in various fields and devices, evolutionary AI offers promising approaches to tackle practical challenges.