Genetic Programming Bibliography entries for Luca Manzoni

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GP coauthors/coeditors: Mauro Castelli, Sara Silva, Leonardo Vanneschi, Matteo De Felice, Ales Popovic, Alberto Moraglio, Andrea Mambrini, James McDermott, David Robert White, Sean Luke, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth De Jong, Una-May O'Reilly, Ivo Goncalves, Brian W Goldman, Gabriel Kronberger,

Genetic Programming Articles by Luca Manzoni

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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 papers by Luca Manzoni

  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. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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