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Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems

📅 Published: July 11, 2022 👤 Liying Wang, Qingjiao Cao, Zhenxing Zhang et al. 📖 Engineering Applications of Artificial Intelligence 📊 727 citations
AI-Generated Summary

This research explores Artificial rabbits optimization: A new bio-inspired meta-heu..., contributing new insights to the field of Artificial Intelligence.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Research demonstrates significant advances in performance benchmarks
  • 2 Study provides new evidence regarding model accuracy improvements
  • 3 Findings open new directions for computational efficiency
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jul 11, 2022
Journal Engineering Applications of Artificial Intelligence
DOI 10.1016/j.engappai.2022.105082
Citations 727
Authors Liying Wang, Qingjiao Cao, Zhenxing Zhang, Seyedali Mirjalili, Weiguo Zhao