What question did this study set out to answer?

The research aims to improve payload delivery accuracy by UAVs in windy conditions using optimization techniques.

January 6, 2026Transactions on Emerging Telecommunications Technologies0 citations

Optimizing Release Points for Precise Payload Delivery by UAVs Under Wind Uncertainty: A Knowledge‐Based Approach Using Differential Evolution

RGRuchi GargMaharishi Markandeshwar University, Mullana SKSumit KumarMaharishi Markandeshwar University, Mullana

Key Points

The research aims to improve payload delivery accuracy by UAVs in windy conditions using optimization techniques.
Utilized differential evolution to optimize payload release points under wind uncertainty.
Applied ballistic equations to determine candidate release points influenced by wind variability.
Conducted simulations to validate the effectiveness of the optimization approach.
Achieved an average reduction in root mean square error for payload delivery compared to existing methods.
Differential evolution method outperformed two alternative approaches in simulations.
Measured landing error improvements through optimized release points.

Abstract

ABSTRACT Windy conditions challenge precise payload delivery by unmanned aerial vehicle (UAV), but wind variability defined within lower and upper bounds at any instance can assist to optimize candidate release points. Therefore, at first, it is crucial to collect candidate release points caused by wind variability. In this paper, knowledge of candidate release points is drawn by applying ballistic equation. The knowledge about the points then initializes differential evolution (DE) optimization to search an optimum payload release point. Therefore, the proposed method is named as DE with knowledge‐based initialization (KI), that is, DE‐KI. Simulations demonstrate DE‐KI's effectiveness by measuring landing error as root mean square error (RMSE) and achieve an average reduction in RMSE compared to existing methods. For instance, DE‐KI outperforms two other alternative approaches by an average RMSE of and with varying payload weight, and and with varying wind speed.

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