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Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications

📅 January 23, 2022 👤 Pavel Trojovský, Mohammad Dehghani 📖 Sensors 📊 842 citations

🤖 Plain-English Summary

Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. The findings of POA are compared with eight well-known metaheuristic algorithms to assess its competence in optimization.

🔑 Key Findings

  • In this paper, a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is introduced.
  • The main idea in designing the proposed POA is simulation of the natural behavior of pelicans during hunting.
  • In POA, search agents are pelicans that search for food sources.

💡 Why This Matters

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

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jan 23, 2022
Journal Sensors
Authors Pavel Trojovský, Mohammad Dehghani
DOI 10.3390/s22030855
Citations 842
Source OpenAlex

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