Fair UAV emergency supply deployment based on an improved genetic algorithm

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This investigation reveals fair deployment strategies for emergency supplies using UAVs, highlighting cost and efficiency.

The improved genetic algorithm significantly reduces drone distribution time by 68.76% while maintaining accuracy.
Using a mix integer programming model, relative deprivation cost measures psychological trauma to ensure fairness in supply delivery.
In comparison to traditional genetic algorithms, the new HRGA shows enhanced solution quality with an 11.55% improvement.
The experimental results confirm the feasibility and effectiveness of the HRGA in emergency supply scenarios.

Hong et al. (2025) studied this question.

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