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source optimization » resource optimization (Expand Search), surface optimization (Expand Search), source utilization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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time swarm » time aware (Expand Search), active swarm (Expand Search)
source optimization » resource optimization (Expand Search), surface optimization (Expand Search), source utilization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data source » data sources (Expand Search)
binary time » binary image (Expand Search)
time swarm » time aware (Expand Search), active swarm (Expand Search)
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Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple...
Published 2022“…Simulation tests reveal that the dynamic genetic algorithm with ant colony binary iterative optimization (DGA-ACBIO) proposed in this study shortens the optimal flight range by 715.8 m, 428.3 m, 589 m, and 287.6 m compared to the dynamic genetic algorithm, ant colony binary iterative algorithm, artificial fish swarm algorithm (AFSA) and particle swarm optimization (PSO), respectively, for multiple tea field scheduling route planning. …”
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Medium-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
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Large-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
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