Genetic Programming Bibliography entries for Luca Manzoni

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GP coauthors/coeditors: Fabio Anselmi, Mauro Castelli, Alberto d'Onofrio, Luca Mariot, Martina Saletta, Alberto Bartoli, Eric Medvet, Lorenzo Bonin, Luigi Rovito, Andrea De Lorenzo, Sara Silva, Leonardo Vanneschi, Matteo De Felice, Ales Popovic, Ivo Goncalves, Leonardo Trujillo, Giuliamaria Menara, Gloria Pietropolli, Mario Giacobini, Bing Xue, Domagoj Jakobovic, Stjepan Picek, Steven P Jorgensen, Giorgia Nadizar, Una-May O'Reilly, Erik Hemberg, Alberto Moraglio, Andrea Mambrini, James McDermott, David Robert White, Sean Luke, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth De Jong, Gabriel Kronberger, Patryk Orzechowski, Roman Tobias Kalkreuth, Alessia Paoletti, Federico Julian Camerota Verdu, Giovanni Pinna, Damiano Ravalico, Teresa Tonelli, Gabriele Sbaiz, Brian W Goldman,

Genetic Programming Articles by Luca Manzoni

  1. Lorenzo Bonin and Luigi Rovito and Andrea De Lorenzo and Luca Manzoni. Cellular geometric semantic genetic programming. Genetic Programming and Evolvable Machines, 25:Article no: 8, 2024. Online first. details

  2. Luigi Rovito and Andrea De Lorenzo and Luca Manzoni. Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming. Algorithms, 16(11):Article No. 499, 2023. details

  3. Alberto Bartoli and Luca Manzoni and Eric Medvet. Commentary on ``Jaws 30'', by W. B. Langdon. Genetic Programming and Evolvable Machines, 24(2):Article number: 23, 2023. Special Issue: Thirtieth Anniversary of Genetic Programming: On the Programming of Computers by Means of Natural Selection. details

  4. Gloria Pietropolli and Luca Manzoni and Alessia Paoletti and Mauro Castelli. On the hybridization of geometric semantic GP with gradient-based optimizers. Genetic Programming and Evolvable Machines, 24(2):Article number: 16, 2023. Online first. details

  5. Luigi Rovito and Lorenzo Bonin and Luca Manzoni and Andrea De Lorenzo. An Evolutionary Computation Approach for Twitter Bot Detection. Applied Sciences, 12(12):Article No. 5915, 2022. Special Issue Genetic Programming, Theory, Methods and Applications. details

  6. Mauro Castelli and Luca Manzoni and Luca Mariot and Giuliamaria Menara and Gloria Pietropolli. The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming. Applied Sciences, 12(10):Article No. 4836, 2022. details

  7. James McDermott and Gabriel Kronberger and Patryk Orzechowski and Leonardo Vanneschi and Luca Manzoni and Roman Kalkreuth and Mauro Castelli. Genetic Programming Benchmarks: Looking Back and Looking Forward. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 15(3) 2022. details

  8. Luca Manzoni and Alberto Bartoli and Mauro Castelli and Ivo Goncalves and Eric Medvet. Specializing Context-Free Grammars With a (1 + 1)-EA. IEEE Transactions on Evolutionary Computation, 24(5):960-973, 2020. details

  9. Mauro Castelli and Luca Manzoni. GSGP-C++ 2.0: A geometric semantic genetic programming framework. SoftwareX, 10:100313, 2019. details

  10. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi and Ales Popovic. The influence of population size in geometric semantic GP. Swarm and Evolutionary Computation, 32:110-120, 2017. details

  11. Mauro Castelli and Luca Manzoni and Leonardo Vanneschi and Ales Popovic. An expert system for extracting knowledge from customers' reviews: The case of Amazon.com, Inc.. Expert Systems with Applications, 84:117-126, 2017. details

  12. Mauro Castelli and Leonardo Vanneschi and Luca Manzoni and Ales Popovic. Semantic genetic programming for fast and accurate data knowledge discovery. Swarm and Evolutionary Computation, 26 2016. details

  13. Mauro Castelli and Luca Manzoni and Leonardo Vanneschi and Sara Silva and Ales Popovic. Self-tuning geometric semantic Genetic Programming. Genetic Programming and Evolvable Machines, 17(1):55-74, 2016. details

  14. David R. White and James McDermott and Mauro Castelli and Luca Manzoni and Brian W. Goldman and Gabriel Kronberger and Wojciech Jaskowski and Una-May O'Reilly and Sean Luke. Better GP benchmarks: community survey results and proposals. Genetic Programming and Evolvable Machines, 14(1):3-29, 2013. details

  15. Luca Manzoni and Mauro Castelli and Leonardo Vanneschi. A new genetic programming framework based on reaction systems. Genetic Programming and Evolvable Machines, 14(4):457-471, 2013. details

Genetic Programming Conference proceedings edited by Luca Manzoni

Genetic Programming conference papers by Luca Manzoni

  1. Teresa Tonelli and Gloria Pietropolli and Gabriele Sbaiz and Luca Manzoni. Genetic Programming for the Reconstruction of Delay Differential Equations in Economics. In Amir H Gandomi editor, GECCO Student Workshop, pages 2119-2122, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Steven Jorgensen and Giorgia Nadizar and Gloria Pietropolli and Luca Manzoni and Eric Medvet and Una-May O'Reilly and Erik Hemberg. Large Language Model-based Test Case Generation for GP Agents. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 914-923, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Giovanni Pinna and Damiano Ravalico and Luigi Rovito and Luca Manzoni and Andrea De Lorenzo. Enhancing Large Language Models-Based Code Generation by Leveraging Genetic Improvement. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 108-124, Aberystwyth, 2024. Springer. details

  4. Luigi Rovito and Andrea De Lorenzo and Luca Manzoni. Evolution of Walsh Transforms with Genetic Programming. 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, GECCO 2023 Student Workshop, pages 2386-2389, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  5. Gloria Pietropolli and Federico Julian Camerota Verdu and Luca Manzoni and Mauro Castelli. Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. 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 619-622, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  6. Gloria Pietropolli and Luca Manzoni and Alessia Paoletti and Mauro Castelli. Combining Geometric Semantic GP with Gradient-descent Optimization. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 17-32, Madrid, Spain, 2022. Springer Verlag. details

  7. Domagoj Jakobovic and Luca Manzoni and Luca Mariot and Stjepan Picek and Mauro Castelli. CoInGP: Convolutional Inpainting with Genetic Programming. 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 795-803, internet, 2021. Association for Computing Machinery. details

  8. Leonardo Vanneschi and Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Trujillo. Is k Nearest Neighbours Regression Better than GP?. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 244-261, Seville, Spain, 2020. Springer Verlag. details

  9. Luca Manzoni and Domagoj Jakobovic and Luca Mariot and Stjepan Picek and Mauro Castelli. Towards an Evolutionary-Based Approach for Natural Language Processing. 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 985-993, internet, 2020. Association for Computing Machinery. details

  10. Mauro Castelli and Luca Manzoni and Luca Mariot and Martina Saletta. Extending Local Search in Geometric Semantic Genetic Programming. In Paulo Moura Oliveira and Paulo Novais and Luis Paulo Reis editors, Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part I, volume 11804, pages 775-787, 2019. Springer. details

  11. Mauro Castelli and Ivo Goncalves and Luca Manzoni and Leonardo Vanneschi. Pruning Techniques for Mixed Ensembles of Genetic Programming Models. 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 52-67, Parma, Italy, 2018. Springer Verlag. details

  12. Leonardo Vanneschi and Mauro Castelli and Ivo Goncalves and Luca Manzoni and Sara Silva. Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 177-184, Donostia, San Sebastian, Spain, 2017. IEEE. details

  13. Leonardo Vanneschi and Mauro Castelli and Luca Manzoni and Krzysztof Krawiec and Alberto Moraglio and Sara Silva and Ivo Goncalves. PSXO: Population-wide Semantic Crossover. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 257-258, Berlin, Germany, 2017. ACM. details

  14. Mauro Castelli and Luca Manzoni and Ivo Goncalves and Leonardo Vanneschi and Leonardo Trujillo and Sara Silva. An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. In Proceedings of the 8th International Joint Conference on Computational Intelligence, IJCCI (ECTA) 2016, pages 201-208, 2016. Scitepress. details

  15. Mauro Castelli and Matteo De Felice and Luca Manzoni and Leonardo Vanneschi. Electricity Demand Modelling with Genetic Programming. In Francisco C. Pereira and Penousal Machado and Ernesto Costa and Amilcar Cardoso editors, Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings, volume 9273, pages 213-225, 2015. Springer. details

  16. Andrea Mambrini and Luca Manzoni. A comparison between geometric semantic GP and cartesian GP for boolean functions learning. 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 143-144, Vancouver, BC, Canada, 2014. ACM. details

  17. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi. Self-tuning Geometric Semantic GP. 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

  18. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi. The Influence of Population Size on Geometric Semantic GP. 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

  19. Leonardo Vanneschi and Mauro Castelli and Luca Manzoni and Sara Silva. A New Implementation of Geometric Semantic GP and its Application to Problems in Pharmacokinetics. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 205-216, Vienna, Austria, 2013. Springer Verlag. details

  20. Alberto Moraglio and Andrea Mambrini and Luca Manzoni. Runtime Analysis of Mutation-Based Geometric Semantic Genetic Programming on Boolean Functions. In Frank Neumann and Kenneth De Jong editors, Foundations of Genetic Algorithms, pages 119-132, Adelaide, Australia, 2013. ACM. details

  21. Andrea Mambrini and Luca Manzoni and Alberto Moraglio. Theory-Laden Design of Mutation-Based Geometric Semantic Genetic Programming for Learning Classification Trees. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 416-423, Cancun, Mexico, 2013. details

  22. James McDermott and David R. White and Sean Luke and Luca Manzoni and Mauro Castelli and Leonardo Vanneschi and Wojciech Jaskowski and Krzysztof Krawiec and Robin Harper and Kenneth De Jong and Una-May O'Reilly. Genetic programming needs better benchmarks. 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 '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 791-798, Philadelphia, Pennsylvania, USA, 2012. ACM. Winner GECCO 2022 ten year impact award. details

  23. Mauro Castelli and Luca Manzoni and Leonardo Vanneschi. Parameter tuning of evolutionary reactions systems. 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 '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 727-734, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  24. Mauro Castelli and Luca Manzoni and Leonardo Vanneschi. Multi Objective Genetic Programming for Feature Construction in Classification Problems. In Carlos A. Coello Coello editor, 5th International Conference Learning and Intelligent Optimization (LION 2011), volume 6683, pages 503-506, Rome, Italy, 2011. Selected Papers. details

  25. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi. A Quantitative Study of Learning and Generalization in Genetic Programming. 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 25-36, Turin, Italy, 2011. Springer Verlag. details

  26. Leonardo Vanneschi and Mauro Castelli and Luca Manzoni. The K landscapes: a tunably difficult benchmark for genetic programming. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1467-1474, Dublin, Ireland, 2011. ACM. details

  27. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi. A comparison of the generalization ability of different genetic programming frameworks. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

Genetic Programming book chapters by Luca Manzoni

Genetic Programming other entries for Luca Manzoni