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April 30, 2026Open Access

Two-layer path planning algorithm for multiple UAVs in urban combat

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Overview

Algorithm improves path planning tasks for unmanned aerial vehicles by reducing local optima and enhancing search efficiency.

Key Points

  • This research aims to enhance the path planning efficiency for multiple UAVs in urban combat environments.
  • Proposed a two-layer optimization algorithm integrating the A* algorithm and particle swarm optimization (PSO).
  • Used the A* algorithm for initial path generation, which informs the PSO algorithm.
  • Introduced mutation structures in PSO to improve global search capabilities and tackle premature convergence.
  • The two-layer optimization algorithm significantly increased search efficiency.
  • Effectively addressed issues related to local optima in UAV path planning.
  • Simulation results supported the feasibility of the algorithm for urban combat scenarios.

Cite This Study

A 2026 study studied this question.

synapsesocial.com/papers/69f2a47b8c0f03fd677637ddhttps://doi.org/10.1051/jnwpu/20264410092/pdf
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