Graduated in Computer Engineering from Estácio IESAM College. Master in Electrical Engineering from the Federal University of Pará (UFPA), with a dissertation on "Bioinspired Self-Tuning Methods for the Genetic Algorithm". Currently a PhD student at the School of Electrical Engineering (FEEC) of the State University of Campinas (UNICAMP), with an emphasis on Optimization of the Truck-Drone Routing Problem. Experience in mathematical and computational modeling, using Python, C, C++, MATLAB and LUA programming languages. Co-author of the EGUA programming language. Author of the book "Mathematical Methods Applied in Engineering via Computational Systems". Areas of activity include participation in the projects "Socio-territorial Diagnosis of Public Security in the Municipality of Ananindeua", and "Analysis of MBANP Organic Crystals via Raman spectroscopy". Member of the research group Gradiente de Modelagem Matemática e Simulação Computação (GMSC), in which he develops research in the field of BioInspired Computing: Genetic Algorithm, Particle Swarm, Differential Evolution and Artificial Neural Networks. (Source: Lattes Curriculum)
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Drones collaborating with trucks to perform varied tasks characterize the truck-drone routing problem (TDRP). In the TDRP with multiple trucks, also referred to as the vehicle routing problem with drones (VRPD), there is a fleet of trucks each of which carries a certain number of drones. The TDRP is interpreted here as a multi-objective optimization problem and is going to be formulated a…
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