Genetic Programming Bibliography entries for Vinicius Veloso de Melo

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.7615

GP coauthors/coeditors: Wolfgang Banzhaf, Bert Baumgaertner, Guillaume Beslon, Rene Doursat, James A Foster, Barry McMullin, Thomas Miconi, Lee Spector, Susan Stepney, Roger White, Benjamin Fowler, Danilo Vasconcellos Vargas, Alvaro Luiz Fazenda, Leo Francoso Dal Piccol Sotto, Giovanni Iacca, Patricia Miquilini, Rodrigo C Barros, Marcio Porto Basgalupp, Lucas Bicalho Oliveira, Regina Celia Coelho, Franz Rothlauf,

Genetic Programming Articles by Vinicius Veloso de Melo

  1. Leo Francoso Dal Piccol Sotto and Franz Rothlauf and Vinicius Veloso de Melo and Marcio P. Basgalupp. An Analysis of the Influence of Non-effective Instructions in Linear Genetic Programming. Evolutionary Computation, 30(1):51-74, 2022. details

  2. Vinicius Veloso de Melo and Wolfgang Banzhaf. Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization. Neural Computing and Applications, 30:3117-3144, 2018. details

  3. Vinicius Veloso de Melo and Wolfgang Banzhaf. Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid. Information Sciences, 430-431:287-313, 2018. details

  4. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo and Marcio Porto Basgalupp. $\lambda$-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem. Knowledge and Information Systems, 52(2):445-465, 2017. details

  5. Vinicius Veloso de Melo and Wolfgang Banzhaf. Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing. Neurocomputing, 246:25-44, 2017. Brazilian Conference on Intelligent Systems 2015. details

  6. Leo Francoso dal Piccol Sotto and Vinicius Veloso de Melo. Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression. Neurocomputing, 180:79-93, 2016. Progress in Intelligent Systems Design Selected papers from the 4th Brazilian Conference on Intelligent Systems (BRACIS 2014). details

  7. Wolfgang Banzhaf and Bert Baumgaertner and Guillaume Beslon and Rene Doursat and James Foster and Barry McMullin and Vinicius Veloso de Melo and Thomas Miconi and Lee Spector and Susan Stepney and Roger White. Defining and Simulating Open-Ended Novelty: Requirements, Guidelines, and Challenges. Theory in Biosciences, 135(3):131-161, 2016. Special Issue in Commemoration of Olaf Breidbach - Part I. details

Genetic Programming conference papers by Vinicius Veloso de Melo

  1. Lucas Bicalho Oliveira and Alvaro Luiz Fazenda and Vinicius Veloso de Melo. Analise Preliminar de Desempenho de Interpretacao Paralela de Individuos de Programacao Genetica. In Rogerio L. Iope and Calebe P. Bianchini editors, Anais da XI Escola Regional de Alto Desempenho de Sao Paulo, pages 30-33, Evento Online, 2020. SBC. details

  2. Vinicius Veloso de Melo and Alvaro Luiz Fazenda and Leo Francoso Dal Piccol Sotto and Giovanni Iacca. A MIMD Interpreter for Genetic Programming. In Pedro A. Castillo and Juan Luis Jimenez Laredo and Francisco Fernandez de Vega editors, 23rd International Conference, EvoApplications 2020, volume 12104, pages 645-658, Seville, Spain, 2020. Springer Verlag. details

  3. Vinicius V. de Melo and Danilo Vasconcellos Vargas and Wolfgang Banzhaf. Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 994-1002, Prague, Czech Republic, 2019. ACM. details

  4. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo. A Probabilistic Linear Genetic Programming with Stochastic Context-free Grammar for Solving Symbolic Regression Problems. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1017-1024, Berlin, Germany, 2017. ACM. details

  5. Vinicius Veloso de Melo and Wolfgang Banzhaf. Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 61-62, Denver, USA, 2016. ACM. details

  6. Vinicius Veloso de Melo. Breast Cancer Detection with Logistic Regression improved by features constructed by Kaizen Programming in a hybrid approach. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 16-23, Vancouver, 2016. IEEE Press. details

  7. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo and Marcio P. Basgalupp. An improved $\lambda$-linear genetic programming evaluated in solving the Santa Fe ant trail problem. In Sascha Ossowski editor, Proceedings of the 31st Annual ACM Symposium on Applied Computing, pages 103-108, Pisa, Italy, 2016. ACM. details

  8. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo. Solving the Lawn Mower problem with Kaizen Programming and $\lambda$-Linear Genetic Programming for Module Acquisition. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 113-114, Denver, USA, 2016. ACM. details

  9. Leo Francoso Dal Piccol Sotto and Regina Celia Coelho and Vinicius Veloso de Melo. Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming using Linear Genetic Programming. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 813-820, Denver, USA, 2016. ACM. details

  10. Patricia Miquilini and Rodrigo C. Barros and Vinicius V de Melo and Marcio P. Basgalupp. Enhancing Discrimination Power with Genetic Feature Construction: A Grammatical Evolution Approach. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3824-3831, Vancouver, 2016. IEEE Press. details

  11. Vinicius Veloso de Melo and Wolfgang Banzhaf. Kaizen Programming for Feature Generation. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, pages 39-57, Ann Arbor, USA, 2015. Springer. details

  12. Vinicius Veloso de Melo and Benjamin Fowler and Wolfgang Banzhaf. Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems. In 2015 Brazilian Conference on Intelligent Systems (BRACIS), pages 25-30, Natal, Brazil, 2015. details

  13. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo. Comparison of linear genetic programming variants for symbolic regression. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 135-136, Vancouver, BC, Canada, 2014. ACM. details

  14. Vinicius Veloso De Melo. Kaizen programming. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 895-902, Vancouver, BC, Canada, 2014. ACM. details

  15. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo. Investigation of Linear Genetic Programming Techniques for Symbolic Regression. In Ricardo B. C. Prudencio and Paulo E. Santos editors, Brazilian Conference on Intelligent Systems, BRACIS 2014, pages 146-151, Sao Paulo, Brazil, 2014. IEEE. details

Genetic Programming other entries for Vinicius Veloso de Melo