Genetic Programming Bibliography entries for Felipe Casadei 
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8620
GP coauthors/coeditors: 
Joao Francisco B S Martins,
Gisele L Pappa,
Luiz Otavio Vilas Boas Oliveira,
Luis Fernando Miranda,
Genetic Programming conference papers by Felipe Casadei
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  Felipe Casadei and  Joao Francisco B. S. Martins and                  Gisele L. Pappa.
A Multi-objective Approach for Symbolic Regression                 with Semantic Genetic Programming. In
2019 8th Brazilian Conference on Intelligent Systems                 (BRACIS), pages 66-71, Salvador, Brazil, 2019.
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  Joao Francisco B. S. Martins and                  Luiz Otavio V. B. Oliveira and Luis F. Miranda and Felipe Casadei and                  Gisele L. Pappa.
Solving the exponential growth of symbolic regression                 trees in geometric semantic genetic programming. In
 Hernan Aguirre and  Keiki Takadama and                  Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and                  Andrew M. Sutton and Satoshi Ono and Francisco Chicano and                  Shinichi Shirakawa and Zdenek Vasicek and                  Roderich Gross and Andries Engelbrecht and Emma Hart and                  Sebastian Risi and Ekart Aniko and Julian Togelius and                  Sebastien Verel and Christian Blum and Will Browne and                  Yusuke Nojima and Tea Tusar and Qingfu Zhang and                  Nikolaus Hansen and Jose Antonio Lozano and                  Dirk Thierens and Tian-Li Yu and Juergen Branke and                  Yaochu Jin and Sara Silva and Hitoshi Iba and                  Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and                  Federica Sarro and Giuliano Antoniol and Anne Auger and                  Per Kristian Lehre editors,
GECCO '18: Proceedings of the Genetic and Evolutionary                 Computation Conference, pages 1151-1158, Kyoto, Japan, 2018. ACM.
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  Luiz Otavio V. B. Oliveira and  Felipe Casadei and                  Gisele Pappa.
Strategies for Improving the Distribution of Random                 Function Outputs in GSGP. In
 Mauro Castelli and  James McDermott and                  Lukas Sekanina editors,
EuroGP 2017: Proceedings of the 20th European                 Conference on Genetic Programming, volume 10196, pages 164-177, Amsterdam, 2017. Springer Verlag.
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