Genetic Programming Bibliography entries for Penousal Machado

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GP coauthors/coeditors: Filipe Assuncao, Nuno Lourenco, Bernardete Ribeiro, Joao Nuno Goncalves Costa Cavaleiro Correia, Ruben Conceicao, Mario Pimenta, Bernardo Tome, Francisco Baeta, Tiago Martins, Pedro Carvalho, Jessica Megane, Juan Jesus Romero Cardalda, Leonardo Vieira, Nereida Rodriguez-Fernandez, Daniel Lopes, Adrian Carballal Mato, Antonio Leitao, Francisco Jose Baptista Pereira, Ernesto Costa, F Amilcar Cardoso, Andre Dias, Nuno Duarte, Jorge Tavares, Antonino Santos del Riego, Alejandro Pazos Sierra, Malcolm Heywood, James McDermott, Mauro Castelli, Pablo Garcia-Sanchez, Paolo Burelli, Sebastian Risi, Kevin Sim, Jose Maria da Costa Simoes, Dirk Schweim, Alberto Moraglio, Sara Silva, Krzysztof Krawiec, Carlos Cotta, Ana Rodrigues, Bruna Sousa, Iria Santos, Alvaro Torrente-Patino, Juan Tunas, James A Foster, Miguel Nicolau, Mario Giacobini, Stefano Tiso,

Genetic Programming Articles by Penousal Machado

  1. Ana Rodrigues and Bruna Sousa and Amilcar Cardoso and Penousal Machado. ``Found in Translation'': An Evolutionary Framework for Auditory-Visual Relationships. Entropy, 24(12):Article No. 1706, 2022. details

  2. Joao Correia and Nereida Rodriguez-Fernandez and Leonardo Vieira and Juan Romero and Penousal Machado. Towards Automatic Image Enhancement with Genetic Programming and Machine Learning. Applied Sciences, 12(4) 2022. details

  3. Francisco Baeta and Joao Correia and Tiago Martins and Penousal Machado. Exploring Genetic Programming in TensorFlow with TensorGP. SN Computer Science, 3(2) 2022. details

  4. Joao Correia and Daniel Lopes and Leonardo Vieira and Nereida Rodriguez-Fernandez and Adrian Carballal and Juan Romero and Penousal Machado. Experiments in evolutionary image enhancement with ELAINE. Genetic Programming and Evolvable Machines, 23(4):557-579, 2022. Special Issue: Evolutionary Computation in Art, Music and Design. details

  5. Juan Romero and Antonino Santos and Adrian Carballal and Nereida Rodriguez-Fernandez and Iria Santos and Alvaro Torrente-Patino and Juan Tunas and Penousal Machado. A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle. Entropy, 22(12) 2020. details

  6. 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

  7. Juan Romero and Penousal Machado and Adrian Carballal. Guest editorial: special issue on biologically inspired music, sound, art and design. Genetic Programming and Evolvable Machines, 14(3):281-286, 2013. Special issue on biologically inspired music, sound, art and design. details

  8. Penousal Machado and Juan Romero and Antonino Santos and Amilcar Cardoso and Alejandro Pazos. On the development of evolutionary artificial artists. Computers \& Graphics, 31(6):818-826, 2007. details

  9. Penousal Machado and Amilcar Cardoso. All the Truth About NEvAr. Applied Intelligence, 16(2):101-118, 2002. details

Genetic Programming Conference proceedings edited by Penousal Machado

Genetic Programming conference papers by Penousal Machado

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. Penousal Machado and Francisco Baeta and Tiago Martins and Joao Correia. GP-Based Generative Adversarial Models. In Leonardo Trujillo and Stephan M. Winkler and Sara Silva and Wolfgang Banzhaf editors, Genetic Programming Theory and Practice XIX, pages 117-140, Ann Arbor, USA, 2022. Springer. details

  8. 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

  9. 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

  10. Joao Correia and Leonardo Vieira and Nereida Rodriguez-Fernandez and Juan Romero and Penousal Machado. Evolving Image Enhancement Pipelines. In Juan Romero and Tiago Martins and Nereida Rodriguez-Fernandez editors, 10th International Conference on Computational Intelligence in Music, Sound, Art and Design, EvoMusArt 2021, pages 82-97, virtual event, 2021. Springer Verlag. details

  11. Francisco Baeta and Joao Correia and Tiago Martins and Penousal Machado. TensorGP - Genetic Programming Engine in TensorFlow. In Pedro Castillo and Juanlu Jimenez-Laredo editors, 24th International Conference, EvoApplications 2021, volume 12694, pages 763-778, virtual event, 2021. Springer Verlag. details

  12. Francisco Baeta and Joao Correia and Tiago Martins and Penousal Machado. Speed Benchmarking of Genetic Programming Frameworks. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 768-775, internet, 2021. Association for Computing Machinery. details

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. Penousal Machado and Joao Correia. Semantic aware methods for evolutionary art. 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 301-308, Vancouver, BC, Canada, 2014. ACM. details

  22. Joao Correia and Penousal Machado. Semantic Operators for Evolutionary Art. In Colin Johnson and Krzysztof Krawiec and Alberto Moraglio and Michael O'Neill editors, Semantic Methods in Genetic Programming, Ljubljana, Slovenia, 2014. Workshop at Parallel Problem Solving from Nature 2014 conference. details

  23. Antonio Leitao and Penousal Machado. Self-adaptive mate choice for cluster geometry optimization. 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 957-964, Amsterdam, The Netherlands, 2013. ACM. details

  24. Penousal Machado and Joao Correia and Juan Romero. Improving Face Detection. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 73-84, Malaga, Spain, 2012. Springer Verlag. details

  25. Penousal Machado and Joao Correia and Juan Romero. Expression-Based Evolution of Faces. In Penousal Machado and Juan Romero and Adrian Carballal editors, Proceedings of the 1st International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2012, volume 7247, pages 187-198, Malaga, Spain, 2012. Springer Verlag. details

  26. Joao Correia and Penousal Machado and Juan Romero. Improving haar cascade classifiers through the synthesis of new training examples. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, pages 1479-1480, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  27. Penousal Machado and Ant\'onio Leit\~ao. Evolving Fitness Functions for Mating Selection. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 227-238, Turin, Italy, 2011. Springer Verlag. details

  28. Jorge Tavares and Penousal Machado and Amilcar Cardoso and Francisco B. Pereira and Ernesto Costa. On the Evolution of Evolutionary Algorithms. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 389-398, Coimbra, Portugal, 2004. Springer-Verlag. details

  29. Penousal Machado and Andre Dias and Amilcar Cardoso. GenCo: A project report. In Alberto Ochoa Rodriguez editor, ISAS 2001 -- International Symposium on Adaptive Systems -- Evolutionary Computation and Probabilistic Graphical Models, Havana, Cuba, 2002. details

  30. Penousal Machado and Andre Dias and Nuno Duarte and Amilcar Cardoso. Giving Colour to Images. In Amilcar Cardoso and Geraint Wiggins editors, AI and Creativity in Arts and Science, Imperial College, United Kingdom, 2002. A symposium as part of AISB'02. details

  31. Francisco B. Pereira and Penousal Machado and Ernesto Costa and Amilcar Cardoso. Graph Based Crossover-A Case Study with the Busy Beaver Problem. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1149-1155, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  32. Penousal Machado and Amilcar Cardoso. Speeding up Genetic Programming. In Proceedings of the Second International Symposium on Artificial Intelligence, Adaptive Systems (CIMAF - 99), Havana, Cuba, 1999. details

  33. Penousal Machado and Francisco B. Pereira and Amilcar Cardoso and Ernesto Costa. Busy Beaver -- the Influence of Representation. In Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'99, volume 1598, pages 29-38, Goteborg, Sweden, 1999. Springer-Verlag. details

Genetic Programming book chapters by Penousal Machado

  1. Nuno Lourenco and Filipe Assuncao and Francisco B. Pereira and Ernesto Costa and Penousal Machado. Structured Grammatical Evolution: A Dynamic Approach. In Conor Ryan and Michael O'Neill and J. J. Collins editors, Handbook of Grammatical Evolution, chapter 6, pages 137-161. Springer, 2018. details

  2. Penousal Machado and Joao Correia and Filipe Assuncao. Graph-Based Evolutionary Art. In Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors, Handbook of Genetic Programming Applications, chapter 1, pages 3-36. Springer, 2015. details

  3. Antonio Leitao and Penousal Machado. Mate Choice in Evolutionary Computation. In Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors, Handbook of Genetic Programming Applications, chapter 7, pages 155-177. Springer, 2015. details

  4. Penousal Machado and Francisco B. Pereira and Jorge Tavares and Ernesto Costa and Amilcar Cardoso. Evolutionary Turing machines: The quest for busy beavers. In Leandro N. de Castro and Fernando J. Von Zuben editors, Recent Developments in Biologically Inspired Computing, chapter 2. Idea Group Publishing, 2004. details

Genetic Programming other entries for Penousal Machado