Home / Research Articles Hub / Reptile Search Algorithm (RSA): A nature-inspired...
🤖 Artificial Intelligence OpenAlex

Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

📅 Published: November 5, 2021 👤 Laith Abualigah, Mohamed Abd Elaziz, Putra Sumari et al. 📖 Expert Systems with Applications 📊 1,386 citations
AI-Generated Summary

This research explores Reptile Search Algorithm (RSA): A nature-inspired meta-heuri..., 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:

Read Full Paper at OpenAlex
More Artificial Intelligence Papers ← Back to Hub 📚 Learning Hub
Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Nov 5, 2021
Journal Expert Systems with Applications
DOI 10.1016/j.eswa.2021.116158
Citations 1,386
Authors Laith Abualigah, Mohamed Abd Elaziz, Putra Sumari, Zong Woo Geem, Amir H. Gandomi