Genetic Programming Bibliography entries for Marco Aurelio Cavalcanti Pacheco

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GP coauthors/coeditors: Alexandre Ashade Lassance Cunha, Leandro Fontoura Cupertino, Cleomar Pereira da Silva, Douglas Mota Dias, Cristiana Bentes, Eric da Silva Praxedes, Adriano Soares Koshiyama, Elita Selmara Abreu, Marley Maria Bernardes Rebuzzi Vellasco, Waldir J A Lobao, Ana Carolina Alves Abreu, Andre Vargas Abs da Cruz, Jeff Maynard Guillen, Alvaro Talavera Lopez, Leonardo Alfredo Forero Mendoza, Jose F M Amaral, Anderson Pires Singulani, Patricia L Souza, Mauricio P Pires, Omar Paranaiba Vilela Neto, C S Pereira, E H Hollmann, Guilherme Cesario Strachan,

Genetic Programming Articles by Marco Aurelio Cavalcanti Pacheco

  1. C. S. Pereira and D. M. Dias and M. A. C. Pacheco and M. M. B. R. Vellasco and A. V. Abs da Cruz and E. H. Hollmann. Quantum-Inspired Genetic Programming Algorithm for the Crude Oil Scheduling of a Real-World Refinery. IEEE Systems Journal, 14(3):3926-3937, 2020. details

  2. Waldir Jesus de Araujo Lobao and Marco Aurelio Cavalcanti Pacheco and Douglas Mota Dias and Ana Carolina Alves Abreu. Solving stochastic differential equations through genetic programming and automatic differentiation. Engineering Applications of Artificial Intelligence, 68:110-120, 2018. details

  3. Alexandre Ashade L. Cunha and Marco Aurelio Pacheco. Efficient model based on genetic programming and spline functions to find modes of unconventional waveguides. IET Microwaves, Antennas Propagation, 12(7):1099-1106, 2018. details

  4. Cleomar Pereira da Silva and Douglas Mota Dias and Cristiana Bentes and Marco Aurelio Cavalcanti Pacheco. Use of graphics processing units for automatic synthesis of programs. Computer \& Electrical Engineering, 46:112-122, 2015. details

  5. Cleomar Pereira da Silva and Douglas Mota Dias and Cristiana Bentes and Marco Aurelio Cavalcanti Pacheco and Leandro Fontoura Cupertino. Evolving GPU Machine Code. Journal of Machine Learning Research, 16(22):673-712, 2015. details

  6. Douglas Mota Dias and Marco Aurelio Cavalcanti Pacheco. Quantum-Inspired Linear Genetic Programming as a Knowledge Management System. The Computer Journal, 56(9):1043-1062, 2013. details

Genetic Programming conference papers by Marco Aurelio Cavalcanti Pacheco

  1. Jeff A. Maynard and Alvaro Talavera and Leonardo Forero and Marco Aurelio Pacheco. Estimating the Geological Properties in Oil Reservoirs through Multi-gene Genetic Programming. In Marley Vellasco editor, 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE. details

  2. Waldir J. A. Lobao and Douglas Mota Dias and Marco Aurelio C. Pacheco. Genetic Programming and Automatic Differentiation Algorithms Applied to the Solution of Ordinary and Partial Differential Equation. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 5286-5292, Vancouver, 2016. IEEE Press. details

  3. Eric da Silva Praxedes and Adriano Soares Koshiyama and Elita Selmara Abreu and Douglas Mota Dias and Marley Maria Bernardes Rebuzzi Vellasco and Marco Aurelio Cavalcanti Pacheco. Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approach. 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 1151-1158, Vancouver, BC, Canada, 2014. ACM. details

  4. Guilherme Cesario Strachan and Adriano Soares Koshiyama and Douglas Mota Dias and Marley Maria Bernardes Rebuzzi Vellasco and Marco Aurelio Cavalcanti Pacheco. Towards a quantum-inspired multi-gene linear genetic programming model. 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 149-150, Vancouver, BC, Canada, 2014. ACM. details

  5. Guilherme C. Strachan and Adriano S. Koshiyama and Douglas M. Dias and Marley M. B. R. Vellasco and Marco A. C. Pacheco. Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems. In Brazilian Conference on Intelligent Systems (BRACIS 2014), pages 152-157, 2014. details

  6. Adriano Soares Koshiyama and Douglas Mota Dias and Andre Vargas Abs da Cruz and Marco Aurelio Cavalcanti Pacheco. Numerical optimization by multi-gene genetic programming. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 145-146, Amsterdam, The Netherlands, 2013. ACM. details

  7. Douglas Dias and Marco Aurelio Pacheco. Describing Quantum-Inspired Linear Genetic Programming from Symbolic Regression Problems. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 907-914, Brisbane, Australia, 2012. details

  8. Douglas Dias and Anderson Singulani and Marco Aurelio Pacheco and Patricia Souza and Mauricio Pires and Omar Vilela Neto. Self-Assembly Quantum Dots Growth Prediction by Quantum-Inspired Linear Genetic Programming. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 2060-2067, New Orleans, USA, 2011. IEEE Press. details

  9. Leandro F. Cupertino and Cleomar P. Silva and Douglas M. Dias and Marco Aurelio C. Pacheco and Cristiana Bentes. Evolving CUDA PTX programs by quantum inspired linear genetic programming. In Simon Harding and W. B. Langdon and Man Leung Wong and Garnett Wilson and Tony Lewis editors, GECCO 2011 Computational intelligence on consumer games and graphics hardware (CIGPU), pages 399-406, Dublin, Ireland, 2011. ACM. details

  10. Douglas Mota Dias and Marco Aurelio C. Pacheco. Toward a Quantum-Inspired Linear Genetic Programming Model. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 1691-1698, Trondheim, Norway, 2009. IEEE Press. details

  11. Douglas Mota Dias and Marco Aurelio C. Pacheco and Jose Franco M. Amaral. Genetic Programming of a Microcontrolled Water Bath Plant. In Bogdan Gabrys and Robert J. Howlett and Lakhmi C. Jain editors, Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Proceedings, Part III, volume 4253, pages 307-314, Bournemouth, UK, 2006. Springer. details

Genetic Programming book chapters by Marco Aurelio Cavalcanti Pacheco