What question did this study set out to answer?

This research aims to develop a method for optimal mission assignment and path planning of multiple UAVs for disaster rescue operations.

December 28, 2021ActuatorsOpen Access

Multi-UAV Optimal Mission Assignment and Path Planning for Disaster Rescue Using Adaptive Genetic Algorithm and Improved Artificial Bee Colony Method

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Randomized trial explores multi-UAV mission assignment in disaster rescue, suggesting improved efficiency through algorithmic methods.

This research aims to develop a method for optimal mission assignment and path planning of multiple UAVs for disaster rescue operations.
Developed a cost-revenue function considering flight distance and threats.
Utilized analytic hierarchy process (AHP) to estimate function weights.
Designed an adaptive genetic algorithm (AGA) for mission allocation and an improved artificial bee colony (IABC) for path planning.
Simulation experiments confirmed the effectiveness of the proposed method in mission assignment and path planning.

Liu et al. (2021) studied this question.

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