- Research Grants
Léo Françoso Dal Piccol Sotto in research grants and scholarships supported by FAPESP.
Linear Genetic Programming is a type of algorithm able to evolve code in a programming language. LGP has been applied in a wide range of problems, as machine learning, navigation, and routing. Its stochastic search process has no knowledge to generate good solutions nor is able of avoiding poor ones, which decreases its efficiency. In this project, two topics will be explored in order t...
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...
Linear Genetic Programming (LGP) is a kind of algorithm capable of evolving computer code which has been successfully applied in various problems, such as Machine Learning (ML), navigation, and routing. As in other Evolutionary Algorithms (EAs), its stochastic search process neither has the knowledge to produce good quality solutions nor is able to avoid poor quality solutions, which re...
(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|