The problem of generating an optimal flight trajectory with the objective of maximizing the coverage of specified target areas minimizing the total flight path, in the presence of a constrained environment, is solved via multi-objective Genetic Algorithms. A novel coverage model, based on the evaluation of a so called coverage potential field, is proposed. Sensitivity studies with increasing problem complexity allow validating procedure effectiveness as well as final solution reliability.
A Multi-objective Genetic Algorithm for a Maximum Coverage Flight Trajectory Optimization in a Constrained Environment
NOTARO I;BLASI, Luciano
2014
Abstract
The problem of generating an optimal flight trajectory with the objective of maximizing the coverage of specified target areas minimizing the total flight path, in the presence of a constrained environment, is solved via multi-objective Genetic Algorithms. A novel coverage model, based on the evaluation of a so called coverage potential field, is proposed. Sensitivity studies with increasing problem complexity allow validating procedure effectiveness as well as final solution reliability.File in questo prodotto:
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