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We address the Coverage Path Planning (CPP) problem for UAVs and propose a novel energy-efficient mathematical optimization model. Our model is formulated as a mixed integer linear program (MILP) with binary variables that is efficiently solved using the CPLEX solver. The simulation results on synthetic data demonstrate the effectiveness of our approach in optimizing UAV patrol planning, underscoring its potential for real-world deployment.

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An Efficient Energy Optimization Model for UAVs Coverage Path Planning

  • 会议论文

  • 发表日期：

    2026年

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  • Manh Cuong Nguyen,
  • Van Thien Nguyen

摘要

We address the Coverage Path Planning (CPP) problem for UAVs and propose a novel energy-efficient mathematical optimization model. Our model is formulated as a mixed integer linear program (MILP) with binary variables that is efficiently solved using the CPLEX solver. The simulation results on synthetic data demonstrate the effectiveness of our approach in optimizing UAV patrol planning, underscoring its potential for real-world deployment.