Genetic Programming Bibliography entries for Nuno Lourenco

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GP coauthors/coeditors: Filipe Assuncao, Penousal Machado, Bernardete Ribeiro, Joao Correia Lopes, Ruben Conceicao, Mario Pimenta, Bernardo Tome, Pedro Carvalho, Ting Hu, Eric Medvet, Francisco Jose Baptista Pereira, Ernesto Costa, Joaquim Ferrer, J Manuel Colmenar, Jose Ignacio Hidalgo Perez, Oscar Garnica, Sancho Salcedo-Sanz, Lukas Sekanina,

Genetic Programming Articles by Nuno Lourenco

Genetic Programming Conference proceedings edited by Nuno Lourenco

Genetic Programming conference papers by Nuno Lourenco

  1. Nuno Lourenco and J. Manuel Colmenar and J. Ignacio Hidalgo and Sancho Salcedo-Sanz. Evolving Energy Demand Estimation Models over Macroeconomic Indicators. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Wagner Markus and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Vanessa Volz and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Miguel Nicolau and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, page 1143–1149, internet, 2020. Association for Computing Machinery. details

  2. Pedro Carvalho and Nuno Lourenco and Filipe Assuncao and Penousal Machado. AutoLR: An Evolutionary Approach to Learning Rate Policies. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Wagner Markus and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Vanessa Volz and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Miguel Nicolau and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, page 672–680, internet, 2020. Association for Computing Machinery. details

  3. Filipe Assuncao and Nuno Lourenco and Bernardete Ribeiro and Penousal Machado. Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. In Pedro A. Castillo and Juan Luis Jimenez Laredo and Francisco Fernandez de Vega editors, 23rd International Conference, EvoApplications 2020, volume 12104, pages 530-545, Seville, Spain, 2020. Springer Verlag. details

  4. Filipe Assuncao and Nuno Lourenco and Bernardete Ribeiro and Penousal Machado. Incremental Evolution and Development of Deep Artificial Neural Networks. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 35-51, Seville, Spain, 2020. Springer Verlag. details

  5. Nuno Lourenco and J. Manuel Colmenar and J. Ignacio Hidalgo and Oscar Garnica. Structured Grammatical Evolution for Glucose Prediction in Diabetic Patients. 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 1250-1257, Prague, Czech Republic, 2019. ACM. details

  6. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Fast DENSER: Efficient Deep NeuroEvolution. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 197-212, Leipzig, Germany, 2019. Springer Verlag. details

  7. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Evolving the Topology of Large Scale Deep Neural Networks. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 19-34, Parma, Italy, 2018. Springer Verlag. details

  8. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Using GP is NEAT: Evolving Compositional Pattern Production Functions. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 3-18, Parma, Italy, 2018. Springer Verlag. details

  9. Nuno Lourenco and Joaquim Ferrer and Francisco B. Pereira and Ernesto Costa. A Comparative Study of Different Grammar-based Genetic Programming Approaches. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 311-325, Amsterdam, 2017. Springer Verlag. details

  10. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Towards the Evolution of Multi-layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 393-400, Berlin, Germany, 2017. ACM. details

  11. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Automatic generation of neural networks with structured Grammatical Evolution. In 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1557-1564, 2017. details

  12. Nuno Lourenco and Francisco B. Pereira and Ernesto Costa. SGE: A Structured Representation for Grammatical Evolution. In Stephane Bonnevay and Pierrick Legrand and Nicolas Monmarche and Evelyne Lutton and Marc Schoenauer editors, Artificial Evolution, volume 9554, pages 136-148, Lyon, France, 2015. Springer. details

  13. Nuno Lourenco and Francisco Baptista Pereira and Ernesto Costa. The importance of the learning conditions in hyper-heuristics. In Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 1525-1532, Amsterdam, The Netherlands, 2013. ACM. details

  14. Nuno Lourenco and Francisco B. Pereira and Ernesto Costa. Learning Selection Strategies for Evolutionary Algorithms. In Pierrick Legrand and Marc-Michel Corsini and Jin-Kao Hao and Nicolas Monmarche and Evelyne Lutton and Marc Schoenauer editors, Artificial Evolution, EA 2013, volume 8752, pages 197-208, Bordeaux, France, 2013. Springer. details

  15. Nuno Lourenco and Francisco Pereira and Ernesto Costa. Evolving evolutionary algorithms. In Gisele L. Pappa and John Woodward and Matthew R. Hyde and Jerry Swan editors, GECCO 2012 2nd Workshop on Evolutionary Computation for the Automated Design of Algorithms, pages 51-58, Philadelphia, Pennsylvania, USA, 2012. ACM. details

Genetic Programming book chapters by Nuno Lourenco

Genetic Programming other entries for Nuno Lourenco