AUTOMATIC GUIDED VEHICLE SIMULATION: USING PARTICIPATORY LEARNING AND GENETIC ALGORITHMS

Anibal T. Azevedo, Joni A. Amorim, Per M. Gustavsson

Abstract


DOI: 10.14684/intertech.13.2014.84-88

This paper discusses a framework that uses computational simulation to improve the performance of unmanned aerial vehicles through the creation and the selection of better navigation rules. For such task, the approaches known as Participatory Learning System and as Genetic Algorithm will be combined. The intent is to provide the mathematical and computational structure to enable unmanned aerial vehicle learning from simulation experiences. Index Terms - Genetic Algorithm, Matlab, Participatory Learning System, Unmanned Aerial Vehicle.


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ISSN 2317-4382

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