Aerial Spray Deposition Management Using the Genetic Algorithm

Aerial Spray Deposition Management Using the Genetic Algorithm

The AGDISP Aerial Spray Simulation Model is used to predict the deposition of spray material released from an aircraft. The prediction is based on a well-defined set of input parameter values (e.g., release height, and droplet size) as well as constant data (e.g., aircraft and nozzle type). But, for...

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Bibliographische Detailangaben
Hauptverfasser: Potter, W. D., Bi, W., Twardus, D., Thistle, H., Twery, M. J., Ghent, J., Teske, M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Biological and medical sciences
Computer science
control theory
systems
Droplet Size
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Genetic Algorithm
Maximum Fitness
Methods and techniques. Experimental designs. Plant protection equipments
Phytopathology. Animal pests. Plant and forest protection
Problem solving, game playing
Spray Parameter
Swath Width
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Beschreibung
Zusammenfassung:The AGDISP Aerial Spray Simulation Model is used to predict the deposition of spray material released from an aircraft. The prediction is based on a well-defined set of input parameter values (e.g., release height, and droplet size) as well as constant data (e.g., aircraft and nozzle type). But, for a given deposition, what are the optimal parameter values? We use the popular Genetic Algorithm to heuristically search for an optimal or near-optimal set of input parameters needed to achieve a certain aerial spray deposition.
ISSN:0302-9743
1611-3349
DOI:10.1007/3-540-45049-1_26