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Recent Evolutionary Computing Algorithms and Industrial Applications: A Review

  • Shu-Chuan Chu,
  • Thi-Kien Dao,
  • Thi-Minh-Phuong Ha,
  • Truong-Giang Ngo,
  • Trong-The Nguyen

摘要

Evolutionary computing algorithms have gained significant attention in recent years due to their ability to solve complex optimization problems in various domains. This paper provides a comprehensive review of recent advancements in evolutionary computing algorithms and their industrial applications. The objective is to analyze the state-of-the-art evolutionary computing algorithms and assess their effectiveness in addressing real-world challenges in different industrial sectors. The paper also discusses the key challenges and future directions for the integration of evolutionary computing algorithms in industrial settings.