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Related Experiment Video

Updated: Jan 10, 2026

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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An improved roosters algorithm for constrained 3D UAV path planning in urban environments.

Mashar Cenk Gençal1, Barış Ata2, Mehmet Kurucan3

  • 1Management Information Systems, Osmaniye Korkut Ata University, 80000, Osmaniye, Turkey. masharcenkgencal@osmaniye.edu.tr.

Scientific Reports
|November 20, 2025
PubMed
Summary

This study introduces the Improved Roosters Algorithm (IRA) for unmanned aerial vehicle (UAV) path planning in complex urban environments. IRA enhances navigation reliability and optimality compared to existing methods.

Keywords:
Metaheuristic algorithmsMulti-objective optimizationPath planningUnmanned aerial vehicles

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Optimization Algorithms

Background:

  • Urban environments present significant challenges for unmanned aerial vehicle (UAV) navigation, including obstacles and regulations.
  • Existing optimization techniques often lack adaptive mechanisms for these complex, constraint-rich scenarios.

Purpose of the Study:

  • To introduce the Improved Roosters Algorithm (IRA), a novel metaheuristic for constrained 3D UAV path planning in urban settings.
  • To enhance the reliability and realism of UAV mission planning through adaptive constraint handling and population structures.

Main Methods:

  • Developed the Improved Roosters Algorithm (IRA) inspired by rooster dominance behavior.
  • Incorporated a spiral dancing operator, adaptive constraint handling, and a hierarchical population structure.
  • Benchmarked IRA against PSO, SGA, DE, GWO, and RA in three complex simulation scenarios.

Main Results:

  • IRA demonstrated superior performance over baseline methods in feasibility and optimality.
  • The algorithm's adaptive mechanisms proved effective in constraint-rich urban environments.
  • IRA offers a more reliable and realistic solution for UAV path planning.

Conclusions:

  • The Improved Roosters Algorithm (IRA) is a competitive and effective tool for 3D UAV path planning in urban environments.
  • IRA's novel features address limitations of existing metaheuristics in complex, real-world scenarios.
  • The study validates IRA's potential for advancing UAV mission planning capabilities.