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<p>The use of drones in logistics transportation has significantly increased recently. One application involves transporting loads from one location to a different location. For larger loads, multiple drones are employed to carry the load collectively. This study introduces a single approach by relaxing the problem formulation and dual stage heuristic approach for dual-type multi-drone systems. Comparative analysis with a simulated annealing (SA) algorithm demonstrates that our single stage (SS) and dual stage (DS) approaches yield satisfactory results with minimal deviation from SA, highlighting SS’s superior computational efficiency.</p>

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Optimization of Dual-type Multi-drone Formations for Load-carrying Missions

  • 期刊论文

  • 发表日期：

    2025年2月5日

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  • Ardian Rizaldi,
  • Yoonsoo Kim

摘要

The use of drones in logistics transportation has significantly increased recently. One application involves transporting loads from one location to a different location. For larger loads, multiple drones are employed to carry the load collectively. This study introduces a single approach by relaxing the problem formulation and dual stage heuristic approach for dual-type multi-drone systems. Comparative analysis with a simulated annealing (SA) algorithm demonstrates that our single stage (SS) and dual stage (DS) approaches yield satisfactory results with minimal deviation from SA, highlighting SS’s superior computational efficiency.