Utilização de inteligência de enxame em UAVs para busca de alvo fixo de localização desconhecida

Abstract

The context of this research is the use of bioinspired algorithms applied to unmanned aerial vehicles (UAV) to search for a fixed target of unknown location. A target can be a lost human being or a broken vehicle, for example. Swarm algorithms used with UAVs can be adapted to perform better than a simple scanning algorithm such as Parallel Path Finder. The Particle Swarm Optimization and Bat Algorithm algorithms are compared using constraints such as UAV battery life and the size of the search area. Thus, the best solution to this problem is shown, among the adapted ones, considering the applied restrictions.