CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Faculdade de Tecnologia (FT) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduation at Engenharia de Computação from Universidade Estadual de Campinas (2002) and doctorate at Computer Science from Universidade Estadual de Campinas (2007). Has experience in Computer Science, focusing on Theory of Computing, acting on the following subjects: vrp, optimizatin, oil exploitation optimization, approximation algorithms an graphs (Source: Lattes Curriculum)
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Network Motifs, or simply motifs, correspond to small patterns that recurrently appear in a complex network. They can be considered as the basic building blocks of complex networks and their understanding may be of interest in several areas, such as Bioinformatics, Communication, and Software Engineering. Researchers from different areas use motifs as an analysis tool, in particular to ch…
The student will to work on the problem of selecting representative models, which can also be referred to as scenario reduction. Creating scenarios is a common activity in situations with uncertainty. When the number of scenarios is large, ranging from hundreds to thousands, it is necessary to perform a scenario reduction while maintaining representativeness. The technique currently used …
This project aims to develop efficient algorithms for vehicle routing problem in a road network. When a vehicle receives a set of delivery points, it must use an optimized route, minimizing the distance traveled or total time. This is the classic Traveling Salesman Problem (TSP). However, when there is more than one vehicle, the problem has two phases: (I) to partition the delivery points…
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