Genetic Programming Bibliography entries for Mauro Castelli

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GP coauthors/coeditors: Francesco Archetti, Ilaria Giordani, Leonardo Vanneschi, S Beretta, Yuliana Martinez, Luis Munoz Delgado, Sara Silva, Leonardo Trujillo, Luciano Milanesi, Ivan Merelli, Luca Manzoni, Ana Isabel Rosa Cabral, Maria Jose Vasconcelos, Luis Catarino, Joao M B Carreiras, Davide Castaldi, Daniele Maccagnola, Stefano Ruberto, Roberto Henriques, Matteo De Felice, Ales Popovic, Emigdio Z-Flores, Pierrick Legrand, Raul Sormani, James McDermott, Lukas Sekanina, Ivo Goncalves, Josue Enriquez-Zarate, Salvador de Lara, Carlos M Fonseca, Carlos Antonio Goribar Jimenez, Yazmin Maldonado Robles, Malcolm Heywood, Ernesto Costa, Vijay Ingalalli, Penousal Machado, Pablo Garcia-Sanchez, Paolo Burelli, Sebastian Risi, Kevin Sim, David Robert White, Sean Luke, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth De Jong, Una-May O'Reilly, Miguel Nicolau, Juan Julian Merelo, Victor M Rivas Santos, Susana de Almeida Mendes Vinga Martins, Joana B Melo, Jose Miguel Ranhada Vellez Caldas, Alessandro Re, Henrique Vaz, Victor Jose de Almeida e Sousa Lobo, Paulo Urbano, Illya Bakurov, Brian W Goldman, Gabriel Kronberger,

Genetic Programming Articles by Mauro Castelli

  1. Mauro Castelli and Raul Sormani and Leonardo Trujillo and Ales Popovic. Predicting per capita violent crimes in urban areas: an artificial intelligence approach. Journal of Ambient Intelligence and Humanized Computing, 8(1):29-36, 2017. details

  2. Josue Enriquez-Zarate and Leonardo Trujillo and Salvador de Lara and Mauro Castelli and Emigdio Z-Flores and Luis Munoz and Ales Popovic. Automatic modeling of a gas turbine using genetic programming: An experimental study. Applied Soft Computing, 50:212-222, 2017. details

  3. 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

  4. 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

  5. Mauro Castelli and Leonardo Trujillo and Ivo Goncalves and Ales Popovic. An evolutionary system for the prediction of high performance concrete strength based on semantic genetic programming. Computers and Concrete, 19(6):651-658, 2017. details

  6. 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

  7. Mauro Castelli and Leonardo Vanneschi and Ales Popovic. Parameter evaluation of geometric semantic genetic programming in pharmacokinetics. Int. J. of Bio-Inspired Computation, 8(1):42-50, 2016. details

  8. 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

  9. Mauro Castelli and Leonardo Vanneschi and Ales Popovic. Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement. Computational Intelligence and Neuroscience, 2016. details

  10. Mauro Castelli and Roberto Henriques and Leonardo Vanneschi. A geometric semantic genetic programming system for the electoral redistricting problem. Neurocomputing, 154:200-207, 2015. details

  11. Mauro Castelli and Leonardo Vanneschi and Ales Popovic. Predicting Burned Areas of Forest Fires: an Artificial Intelligence Approach. Fire Ecology, 11(1):106-118, 2015. details

  12. Mauro Castelli and Leonardo Vanneschi and Matteo De Felice. Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case. Energy Economics, 47:37-41, 2015. details

  13. Mauro Castelli and Leonardo Trujillo and Leonardo Vanneschi and Ales Popovic. Prediction of energy performance of residential buildings: a genetic programming approach. Energy and Buildings, 102(1):67-74, 2015. details

  14. Mauro Castelli and Leonardo Vanneschi and Leonardo Trujillo. Energy Consumption Forecasting using Semantics Based Genetic Programming with Local Search Optimizer. Computational Intelligence and Neuroscience, 2015 2015. details

  15. Mauro Castelli and Leonardo Trujillo and Leonardo Vanneschi and Ales Popovic. Prediction of relative position of CT slices using a computational intelligence system. Applied Soft Computing, 2015. details

  16. Mauro Castelli and Sara Silva and Leonardo Vanneschi. A C++ framework for geometric semantic genetic programming. Genetic Programming and Evolvable Machines, 16(1):73-81, 2015. details

  17. Leonardo Vanneschi and Mauro Castelli and Sara Silva. A survey of semantic methods in genetic programming. Genetic Programming and Evolvable Machines, 15(2):195-214, 2014. details

  18. Mauro Castelli and Leonardo Vanneschi and Sara Silva. Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. IEEE Transactions on Cybernetics, 44(1):103-113, 2014. details

  19. Mauro Castelli and Leonardo Vanneschi and Sara Silva. Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators. Expert Systems with Applications, 41(10):4608-4616, 2014. details

  20. Mauro Castelli and Leonardo Vanneschi and Sara Silva. Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. IEEE Transactions on Cybernetics, 44(1):103-113, 2014. details

  21. 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

  22. 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

  23. Mauro Castelli and Leonardo Vanneschi and Sara Silva. Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators. Expert Systems with Applications, 40(17):6856-6862, 2013. details

  24. Leonardo Vanneschi and Francesco Archetti and Mauro Castelli and Ilaria Giordani. Classification of Oncologic Data with Genetic Programming. Journal of Artificial Evolution and Applications, 2009 2009. details

Genetic Programming PhD doctoral thesis Mauro Castelli

Genetic Programming Conference proceedings edited by Mauro Castelli

  1. Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming. Volume 10196 of LNCS, Amsterdam, Springer Verlag, 2017. details

  2. Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa editors, Proceedings of the 19th European Conference on Genetic Programming, EuroGP 2015. Volume 9594 of LNCS, Porto, Portugal, Springer Verlag, 2016. details

  3. Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, Proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015. Volume 9025 of LNCS, Copenhagen, Springer Verlag, 2015. details

  4. Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, Proceedings of the 17th European Conference on Genetic Programming, EuroGP 2014. Volume 8599 of LNCS, Granada, Spain, Springer Verlag, 2014. details

Genetic Programming conference papers by Mauro Castelli

  1. 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

  2. Leonardo Vanneschi and Illya Bakurov and Mauro Castelli. An initialization technique for geometric semantic GP based on demes evolution and despeciation. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 113-120, Donostia, San Sebastian, Spain, 2017. IEEE. details

  3. Carlos Goribar-Jimenez and Yazmin Maldonado and Leonardo Trujillo and Mauro Castelli and Ivo Goncalves and Leonardo Vanneschi. Towards the development of a complete GP system on an FPGA using geometric semantic operators. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1932-1939, Donostia, San Sebastian, Spain, 2017. IEEE. details

  4. Ivo Goncalves and Sara Silva and Carlos M. Fonseca and Mauro Castelli. Unsure when to Stop?: Ask Your Semantic Neighbors. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 929-936, Berlin, Germany, 2017. ACM. details

  5. Ivo Goncalves and Sara Silva and Carlos M. Fonseca and Mauro Castelli. Arbitrarily Close Alignments in the Error Space: a Geometric Semantic Genetic Programming Approach. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 99-100, Denver, USA, 2016. ACM. details

  6. S. Beretta and M. Castelli and Yuliana Martinez and Luis Munoz and Sara Silva and Leonardo Trujillo and Luciano Milanesi and Ivan Merelli. A Machine Learning Approach for the Integration of miRNA-Target Predictions. In 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pages 528-534, 2016. details

  7. 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

  8. Leonardo Vanneschi and Mauro Castelli and Ernesto Costa and Alessandro Re and Henrique Vaz and Victor Lobo and Paulo Urbano. Improving Maritime Awareness with Semantic Genetic Programming and Linear Scaling: Prediction of Vessels Position Based on AIS Data. In Antonio M. Mora and Giovanni Squillero editors, 18th European Conference on the Applications of Evolutionary Computation, volume 9028, pages 732-744, Copenhagen, 2015. Springer. details

  9. Sara Silva and Luis Munoz and Leonardo Trujillo and Vijay Ingalalli and Mauro Castelli and Leonardo Vanneschi. Multiclass Classification Through Multidimensinoal Clustering. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, Ann Arbor, USA, 2015. Springer. details

  10. Mauro Castelli and Leonardo Trujillo and Leonardo Vanneschi and Sara Silva and Emigdio Z-Flores and Pierrick Legrand. Geometric Semantic Genetic Programming with Local Search. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 999-1006, Madrid, Spain, 2015. ACM. details

  11. Stefano Ruberto and Leonardo Vanneschi and Mauro Castelli and Sara Silva. ESAGP -- A Semantic GP Framework Based on Alignment in the Error Space. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 150-161, Granada, Spain, 2014. Springer. details

  12. Vijay Ingalalli and Sara Silva and Mauro Castelli and Leonardo Vanneschi. A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 48-60, Granada, Spain, 2014. Springer. details

  13. 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

  14. 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

  15. Mauro Castelli and Leonardo Vanneschi and Sara Silva and Stefano Ruberto. How to Exploit Alignment in the Error Space: Two Different GP Models. In Rick Riolo and William P. Worzel and Mark Kotanchek editors, Genetic Programming Theory and Practice XII, pages 133-148, Ann Arbor, USA, 2014. Springer. details

  16. 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

  17. Sara Silva and Vijay Ingalalli and Susana Vinga and Joao M. B. Carreiras and Joana B. Melo and Mauro Castelli and Leonardo Vanneschi and Ivo Goncalves and Jose Caldas. Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. In Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors, Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 407-417, Vienna, 2013. Springer Verlag. details

  18. Mauro Castelli and Sara Silva and Leonardo Vanneschi and Ana Cabral and Maria J. Vasconcelos and Luis Catarino and Joao M. B. Carreiras. Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators. In Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors, Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 334-343, Vienna, 2013. Springer Verlag. details

  19. Mauro Castelli and Davide Castaldi and Leonardo Vanneschi and Ilaria Giordani and Francesco Archetti and Daniele Maccagnola. An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. 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 137-138, Amsterdam, The Netherlands, 2013. ACM. details

  20. Mauro Castelli and Davide Castaldi and Ilaria Giordani and Sara Silva and Leonardo Vanneschi and Francesco Archetti and Daniele Maccagnola. An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. In Luis Correia and Luis Paulo Reis and Jose Cascalho editors, Proceedings of the 16th Portuguese Conference on Artificial Intelligence, EPIA 2013, volume 8154, pages 78-89, Angra do Heroismo, Azores, Portugal, 2013. Springer. details

  21. 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. details

  22. 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

  23. 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

  24. 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

  25. 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

  26. Leonardo Vanneschi and Mauro Castelli and Sara Silva. Measuring bloat, overfitting and functional complexity in genetic programming. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 877-884, Portland, Oregon, USA, 2010. 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

  28. Francesco Archetti and Mauro Castelli and Ilaria Giordani and Leonardo Vanneschi. Classification of colon tumor tissues using genetic programming. In J. Roberto Serra and Marco Villani and Irene Poli editors, Artificial Life and Evolutionary Computation: Proceedings of Wivace 2008, pages 49-58, Venice, Italy, 2008. World Scientific Publishing Co.. details

Genetic Programming book chapters by Mauro Castelli

Genetic Programming other entries for Mauro Castelli