- Research Grants
bachelor's at Bacharelado em Ciência da Computação from Pontifícia Universidade Católica de Minas Gerais (2002), master's at Computer Science from Universidade de São Paulo (2005) and doctorate at Computer Science from Universidade de São Paulo (2009). Has experience in Computer Science, focusing on Computing Systems, acting on the following subjects: machine learning, evolutionary algoritmos, global numerical optimization, information extraction, and search for promising regions. (Source: Lattes Curriculum)
Several meta-heuristics have been proposed for solving various types of optimization problems. In general, they use solution modifying procedures that combine current solutions to generate new solutions and find increasingly better solutions over the iterations. To improve performance, one can develop more efficient operators or add strategies for meta-heuristics to be adaptive, automat...
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This project aims to study the application of evolutionary algorithms - Genetic Programming initially - in the automatic evolution of behaviour trees of an intelligent agent, which determine the actions to be taken in accordance with the current configuration of the environment. The intelligent agent that will be studied in this project is an implementation in the framework for study of...
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
|Data from Web of Science|