FugaPet-Rotas: Um algoritmo inteligente para recomendação de rotas visando buscar animais desaparecidos
Abstract
The pet market in Brazil is one of the sectors that has grown significantly due to covering different domains. In this context, the FugaPet startup was created which aims to support tutors find missing pets through technology. Based on the solution developed by FugaPet startup, this paper aims to present an intelligent algorithm to recommend routes that optimize the chances of tutors finding their missing pets. To make the algorithm feasible, we developed a webapp to collect data from volunteer tutors about the location where a pet was found. The results indicate that it is possible to recommend routes that minimize the effort to look for a missing animal. Therefore, it can be asserted that, through an experiment with 50 repetitions, the algorithm manages to arrive most of the time at the same solution or in solutions very close to the ideal.
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