AUTOMATIC GUIDED VEHICLE SIMULATION: USING PARTICIPATORY LEARNING AND GENETIC ALGORITHMS
Aníbal Tavares de Azevedo, Joni de Almeida Amorim, Per M. Gustavsson · Proceedings of International Conference on Engineering and Technology Education · 2014
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.