Genetic Programming Bibliography entries for Nuno Lourenco

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GP coauthors/coeditors: Filipe Assuncao, Penousal Machado, Bernardete Ribeiro, Joao Nuno Goncalves Costa Cavaleiro Correia, Ruben Conceicao, Mario Pimenta, Bernardo Tome, Henrique Branquinho, Ernesto Costa, Pedro Carvalho, Jessica Megane, Gabriel Cortes, Ting Hu, Eric Medvet, Leon Ingelse, Jose-Ignacio Hidalgo, J Manuel Colmenar, Alcides Fonseca, Francisco Jose Baptista Pereira, Joaquim Ferrer, Jose Ignacio Hidalgo Perez, Oscar Garnica, Sancho Salcedo-Sanz, Tiago Martins, Luis Espirito Santo, Joao Miguel Cunha, Sergio M Rebelo, Pedro Martins, Joao Bicker, Jose Maria da Costa Simoes, Dirk Schweim, Mariana Monteiro, Aidan Murphy, Anthony Ventresque, Mahsa Mahdinejad, Miguel Rabuge, Lukas Sekanina, Stefano Tiso, Leonardo Trujillo, Mengjie Zhang,

Genetic Programming Articles by Nuno Lourenco

  1. Aidan Murphy and Mahsa Mahdinejad and Anthony Ventresque and Nuno Lourenco. An investigation into structured grammatical evolution initialisation. Genetic Programming and Evolvable Machines, 25:Article no 24, 2024. Online first. details

  2. Penousal Machado and Tiago Martins and Joao Correia and Luis Espirito Santo and Nuno Lourenco and Joao Cunha and Sergio Rebelo and Pedro Martins and Joao Bicker. Designing Coins with Evolutionary Computation. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 17(2) 2024. details

  3. Leonardo Trujillo and Ting Hu and Nuno Lourenco and Mengjie Zhang. Editorial Introduction. Genetic Programming and Evolvable Machines, 23(3):305-307, 2022. details

  4. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. DENSER: deep evolutionary network structured representation. Genetic Programming and Evolvable Machines, 20(1):5-35, 2019. details

  5. Nuno Lourenco and Francisco B. Pereira and Ernesto Costa. Unveiling the properties of structured grammatical evolution. Genetic Programming and Evolvable Machines, 17(3):251-289, 2016. details

Genetic Programming PhD doctoral thesis Nuno Lourenco

Genetic Programming Conference proceedings edited by Nuno Lourenco

Genetic Programming conference papers by Nuno Lourenco

  1. Miguel Rabuge and Nuno Lourenco. A Comparison of Feature Engineering Techniques for Hearing Loss. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 527-530, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Penousal Machado and Tiago Martins and Joao Correia and Luis Espirito Santo and Nuno Lourenco and Joao Cunha and Sergio Rebelo and Pedro Martins and Joao Bicker. From Pixels to Metal: AI-Empowered Numismatic Art. In Proceedings of the Thrity-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, 2024. International Joint Conferences on Artificial Intelligence Organization. Silver Humie award. AI, the Arts and Creativity. details

  3. Miguel Rabuge and Nuno Lourenco. Decision Tree Based Wrappers for Hearing Loss. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  4. Jessica Megane and Eric Medvet and Nuno Lourenco and Penousal Machado. Grammar-Based Evolution of Polyominoes. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 56-72, Aberystwyth, 2024. Springer. details

  5. Nuno Lourenco. Automatic design of autoencoders using neuroevolution. In Wolfgang Banzhaf and Ting Hu and Alexander Lalejini and Stephan Winkler editors, Genetic Programming Theory and Practice XXI, University of Michigan, USA, 2024. details

  6. Gabriel Cortes and Nuno Lourenco and Penousal Machado. Towards Physical Plausibility in Neuroevolution Systems. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14635, pages 76-90, Aberystwyth, 2024. Springer. details

  7. Stefano Tiso and Pedro Carvalho and Nuno Lourenco and Penousal Machado. Biological Insights on Grammar-Structured Mutations Improve Fitness and Diversity. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 558-567, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  8. Aidan Murphy and Nuno Lourenco and Anthony Ventresque. Initialisation in Structured Grammatical Evolution. In Conor Ryan and Mahsa Mahdinejad and Aidan Murphy editors, Grammatical Evolution Workshop - 25 years of GE, pages 2022-2028, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  9. Jessica Megane and Nuno Lourenco and Penousal Machado and Dirk Schweim. The Influence of Probabilistic Grammars on Evolution. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 611-614, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  10. Leon Ingelse and Jose-Ignacio Hidalgo and Jose Manuel Colmenar and Nuno Lourenco and Alcides Fonseca. Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes. In Conor Ryan and Mahsa Mahdinejad and Aidan Murphy editors, Grammatical Evolution Workshop - 25 years of GE, pages 2013-2021, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  11. Henrique Branquinho and Nuno Lourenco and Ernesto Costa. SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks. In Ernesto Tarantino and Edgar Galvan and Ivanoe De Falco and Antonio Della Cioppa and Scafuri Umberto and Mengjie Zhang editors, Neuroevolution at work, pages 2115-2122, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  12. Jose Maria Simoes and Nuno Lourenco and Penousal Machado. All You Need Is Sex for Diversity. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 276-291, Brno, Czech Republic, 2023. Springer Verlag. details

  13. Pedro Carvalho and Jessica Megane and Nuno Lourenco and Penousal Machado. Context Matters: Adaptive Mutation for Grammars. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 117-132, Brno, Czech Republic, 2023. Springer Verlag. details

  14. Jessica Megane and Nuno Lourenco and Penousal Machado. Co-evolutionary Probabilistic Structured Grammatical Evolution. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 991-999, Boston, USA, 2022. Association for Computing Machinery. details

  15. Jessica Megane and Nuno Lourenco and Penousal Machado. Probabilistic Structured Grammatical Evolution. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  16. Pedro Carvalho and Nuno Lourenco and Penousal Machado. Evolving Adaptive Neural Network Optimizers for Image Classification. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 3-18, Madrid, Spain, 2022. Springer Verlag. details

  17. Mariana Monteiro and Nuno Lourenco and Francisco B. Pereira. FERMAT: Feature Engineering with Grammatical Evolution. In Goreti Marreiros and Francisco S. Melo and Nuno Lau and Henrique Lopes Cardoso and Luis Paulo Reis editors, Progress in Artificial Intelligence - 20th EPIA Conference on Artificial Intelligence, volume 12981, pages 239-251, Virtual Event, 2021. Springer. details

  18. Jessica Megane and Nuno Lourenco and Penousal Machado. Probabilistic Grammatical Evolution. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming, volume 12691, pages 198-213, Virtual Event, 2021. Springer Verlag. details

  19. 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 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 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 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, pages 1143-1149, internet, 2020. Association for Computing Machinery. details

  20. 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 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 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 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, pages 672-680, internet, 2020. Association for Computing Machinery. details

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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