Genetic Programming Bibliography entries for Leonardo Vanneschi

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GP coauthors/coeditors: Francesco Archetti, Stefano Lanzeni, Enza Messina, Ilaria Giordani, Jurgen Branke, Martin Pelikan, Enrique Alba, Dirk V Arnold, Josh C Bongard, Anthony Brabazon, Martin V Butz, Jeff Clune, Myra Cohen, Kalyanmoy Deb, Andries P Engelbrecht, Natalio Krasnogor, Julian F Miller, Michael O'Neill, Kumara Sastry, Dirk Thierens, Jano I van Hemert, Carsten Witt, Mauro Castelli, Luca Manzoni, Sara Silva, Manuel Clergue, Philippe Collard, Marco Tomassini, Marc Ebner, Aniko Ekart, Anna Esparcia-Alcazar, Antonella Farinaccio, Mario Giacobini, Giancarlo Mauri, Paolo Provero, Francisco Fernandez de Vega, L Bucher, Giandomenico Spezzano, Gianluigi Folino, Clara Pizzuti, German Galeano, Steven M Gustafson, James McDermott, Una-May O'Reilly, Kalyan Veeramachaneni, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino, Wolfgang Banzhaf, Riccardo Poli, Nicholas Freitag McPhee, William B Langdon, Denis Rochat, Stephen Dignum, Jerome Cuendet, Leonardo Trujillo, Pierrick Legrand, Sebastien Verel, Andrea Valsecchi, Stefano Cagnoni, Yuri Pirola, Alberto Moraglio, Giuseppe Cuccu, Marco Antoniotti, Mauro Antoniotti, Matteo Mondini, Martino Bertoni, Alberto Ronchi, Mattia Stefano,

Genetic Programming Articles by Leonardo Vanneschi

  1. Sara Silva and Stephen Dignum and Leonardo Vanneschi. Operator equalisation for bloat free genetic programming and a survey of bloat control methods. Genetic Programming and Evolvable Machines, 13(2):197-238, 2012. details

  2. Leonardo Vanneschi and Antonella Farinaccio and Giancarlo Mauri and Mauro Antoniotti and Paolo Provero and Mario Giacobini. A comparison of machine learning techniques for survival prediction in breast cancer. BioData Mining, 4(12) 2011. details

  3. Leonardo Vanneschi and Yuri Pirola and Giancarlo Mauri and Marco Tomassini and Philippe Collard and Sebastien Verel. A study of the neutrality of Boolean function landscapes in genetic programming. Theoretical Computer Science, 2011. In Press, Corrected Proof. details

  4. Riccardo Poli and Leonardo Vanneschi and William B. Langdon and Nicholas Freitag McPhee. Theoretical Results in Genetic Programming: The next ten years?. Genetic Programming and Evolvable Machines, 11(3/4):285-320, 2010. Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines. details

  5. Marco Tomassini and Leonardo Vanneschi. Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two. Genetic Programming and Evolvable Machines, 11(2):129-130, 2010. Editorial special issue on parallel and distributed evolutionary algorithms, part two. details

  6. Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Wolfgang Banzhaf. Open issues in genetic programming. Genetic Programming and Evolvable Machines, 11(3/4):339-363, 2010. Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines. details

  7. Francesco Archetti and Ilaria Giordani and Leonardo Vanneschi. Genetic programming for QSAR investigation of docking energy. Applied Soft Computing, 10(1):170-182, 2010. details

  8. Francesco Archetti and Ilaria Giordani and Leonardo Vanneschi. Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset. Computers \& Operations Research, 37(8):1395-1405, 2010. Operations Research and Data Mining in Biological Systems. details

  9. 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

  10. Steven Gustafson and Leonardo Vanneschi. Crossover-Based Tree Distance in Genetic Programming. IEEE Transactions on Evolutionary Computation, 12(4):506-524, 2008. details

  11. Francesco Archetti and Stefano Lanzeni and Enza Messina and Leonardo Vanneschi. Genetic programming for computational pharmacokinetics in drug discovery and development. Genetic Programming and Evolvable Machines, 8(4):413-432, 2007. special issue on medical applications of Genetic and Evolutionary Computation. details

  12. Marco Tomassini and Leonardo Vanneschi and Philippe Collard and Manuel Clergue. A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming. Evolutionary Computation, 13(2):213-239, 2005. details

  13. Francisco Fernandez and Marco Tomassini and Leonardo Vanneschi. An Empirical Study of Multipopulation Genetic Programming. Genetic Programming and Evolvable Machines, 4(1):21-51, 2003. details

Genetic Programming PhD doctoral thesis Leonardo Vanneschi

Genetic Programming Conference proceedings edited by Leonardo Vanneschi

  1. 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. Portland, OR, USA, ACM, 2010. details

  2. Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009. Volume 5481 of LNCS, Tuebingen, Springer, 2009. details

  3. Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel Esparcia Alcazar and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino editors, Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008. Volume 4971 of Lecture Notes in Computer Science, Naples, Springer, 2008. details

  4. Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming. Volume 4445 of Lecture Notes in Computer Science, Valencia, Spain, Springer, 2007. details

Genetic Programming conference papers by Leonardo Vanneschi

  1. Leonardo Vanneschi and Matteo Mondini and Martino Bertoni and Alberto Ronchi and Mattia Stefano. GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks. In Mario Giacobini and Leonardo Vanneschi and William S. Bush editors, 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, volume 7246, pages 97-109, Malaga, Spain, 2012. Springer Verlag. details

  2. Leonardo Trujillo and Sara Silva and Pierrick Legrand and Leonardo Vanneschi. An empirical study of functional complexity as an indicator of overfitting 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 262-273, Turin, Italy, 2011. Springer Verlag. details

  3. James McDermott and Una-May O'Reilly and Leonardo Vanneschi and Kalyan Veeramachaneni. How Far Is It From Here to There? A Distance that is Coherent with GP Operators. 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 190-202, Turin, Italy, 2011. Springer Verlag. details

  4. 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

  5. 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

  6. Leonardo Vanneschi. Fitness landscapes and problem hardness in genetic programming. In Una-May O'Reilly editor, GECCO 2010 Specialized techniques and applications tutorials, pages 2711-2738, Portland, Oregon, USA, 2010. ACM. details

  7. 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

  8. Leonardo Vanneschi and Antonella Farinaccio and Mario Giacobini and Marco Antoniotti and Giancarlo Mauri and Paolo Provero. Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques. In Clara Pizzuti and Marylyn D. Ritchie and Mario Giacobini editors, 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2010, volume 6023, pages 110-121, Istanbul, 2010. Springer. details

  9. Sara Silva and Leonardo Vanneschi. State-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs. In Miguel Rocha and Florentino Riverola and Hagit Shatkay and Juan Corchado editors, 4th International Workshop on Practical Applications of Computational Biology and Bioinformatics 2010 (IWPACBB 2010), volume 74, pages 165-173, Guimar\~aes, Portugal, 2010. Springer. details

  10. Antonella Farinaccio and Leonardo Vanneschi and Mario Giacobini and Giancarlo Mauri and Paolo Provero. On the use of genetic programming for the prediction of survival in cancer. 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 163-170, Portland, Oregon, USA, 2010. ACM. details

  11. 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

  12. Leonardo Vanneschi and Giuseppe Cuccu. A Study of Genetic Programming Variable Population Size for Dynamic Optimization Problems. In Agostinho Rosa editor, International Conference on Evolutionary Computation (ICEC 2009), pages 119-126, Madeira, Portugal, 2009. details

  13. Leonardo Vanneschi and Steven Gustafson. Using crossover based similarity measure to improve genetic programming generalization ability. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1139-1146, Montreal, 2009. ACM. details

  14. Leonardo Vanneschi and Giuseppe Cuccu. Variable size population for dynamic optimization with genetic programming. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1895-1896, Montreal, 2009. ACM. details

  15. Sara Silva and Leonardo Vanneschi. Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1115-1122, Montreal, 2009. ACM. details

  16. Leonardo Vanneschi and Sara Silva. Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming. In Luis Seabra Lopes and Nuno Lau and Pedro Mariano and Luis Mateus Rocha editors, Progress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, volume 5816, pages 65-76, Aveiro, Portugal, 2009. Springer. details

  17. Riccardo Poli and Nicholas F. McPhee and Leonardo Vanneschi. The impact of population size on code growth in GP: analysis and empirical validation. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1275-1282, Atlanta, GA, USA, 2008. ACM. details

  18. Riccardo Poli and Nicholas Freitag McPhee and Leonardo Vanneschi. Elitism reduces bloat in genetic programming. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1343-1344, Atlanta, GA, USA, 2008. ACM. details

  19. Leonardo Vanneschi and Marco Tomassini and Philippe Collard and S\'ebastien Verel and Yuri Pirola and Giancarlo Mauri. A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds. In Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 241-250, Valencia, Spain, 2007. Springer. details

  20. Francesco Archetti and Stefano Lanzeni and Enza Messina and Leonardo Vanneschi. Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs. In Elena Marchiori and Jason H. Moore and Jagath C. Rajapakse editors, EvoBIO 2007, Proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, volume 4447, pages 11-23, Valencia, Spain, 2007. Springer. details

  21. Leonardo Vanneschi and Denis Rochat and Marco Tomassini. Multi-optimization improves genetic programming generalization ability. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1759-1759, London, 2007. ACM Press. details

  22. Leonardo Vanneschi and Marco Tomassini and Philippe Collard and S\'ebastien V\'erel. Negative Slope Coefficient. A Measure to Characterize Genetic Programming. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 178-189, Budapest, Hungary, 2006. Springer. details

  23. Leonardo Vanneschi and Steven Gustafson and Giancarlo Mauri. Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 238-249, Budapest, Hungary, 2006. Springer. details

  24. Leonardo Vanneschi and Yuri Pirola and Philippe Collard. A Quantitative Study of Neutrality in GP Boolean Landscapes. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 895-902, Seattle, Washington, USA, 2006. ACM Press. details

  25. Leonardo Vanneschi and Giancarlo Mauri and Andrea Valsecchi and Stefano Cagnoni. Heterogeneous cooperative coevolution: strategies of integration between GP and GA. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 361-368, Seattle, Washington, USA, 2006. ACM Press. details

  26. Francesco Archetti and Stefano Lanzeni and Enza Messina and Leonardo Vanneschi. Genetic programming for human oral bioavailability of drugs. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 255-262, Seattle, Washington, USA, 2006. ACM Press. details

  27. Denis Rochat and Marco Tomassini and Leonardo Vanneschi. Dynamic Size Populations in Distributed Genetic Programming. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 50-61, Lausanne, Switzerland, 2005. Springer. details

  28. Steven Gustafson and Leonardo Vanneschi. Operator-Based Distance for Genetic Programming: Subtree Crossover Distance. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 178-189, Lausanne, Switzerland, 2005. Springer. details

  29. Leonardo Vanneschi and Marco Tomassini and Philippe Collard and Manuel Clergue. A Survey of Problem Difficulty in Genetic Programming. In Stefania Bandini and Sara Manzoni editors, AI*IA 2005: Advances in Artificial Intelligence, 9th Congress of the Italian Association for Artificial Intelligence, Proceedings, volume 3673, pages 66-77, Milan, Italy, 2005. Springer. details

  30. Leonardo Vanneschi and Manuel Clergue and Philippe Collard and Marco Tomassini and S\'ebastien V\'erel. Fitness Clouds and Problem Hardness in Genetic Programming. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103, pages 690-701, Seattle, WA, USA, 2004. Springer-Verlag. details

  31. Marco Tomassini and Leonardo Vanneschi and Jerome Cuendet and Francisco Fernandez. A New Technique for Dynamic Size Populations in Genetic Programming. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 486-493, Portland, Oregon, 2004. IEEE Press. details

  32. Leonardo Vanneschi and Marco Tomassini and Manuel Clergue and Philippe Collard. Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1788-1799, Chicago, 2003. Springer-Verlag. details

  33. L. Vanneschi and M. Tomassini and P. Collard and M. Clergue. Fitness distance correlation in genetic programming: A constructive counterexample. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 289-296, Canberra, 2003. IEEE Press. details

  34. Leonardo Vanneschi and Marco Tomassini and Philippe Collard and Manuel Clergue. Fitness Distance Correlation in Structural Mutation Genetic Programming. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 455-464, Essex, 2003. Springer-Verlag. details

  35. Leonardo Vanneschi and Marco Tomassini. Pros and Cons of Fitness Distance Correlation in Genetic Programming. In Alwyn M. Barry editor, GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pages 284-287, Chigaco, 2003. AAAI. details

  36. Marco Tomassini and Leonardo Vanneschi and Francisco Fern\'andez and Germ\'an Galeano. Diversity in Multipopulation Genetic Programming. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1812-1813, Chicago, 2003. Springer-Verlag. details

  37. Marco Tomassini and Leonardo Vanneschi and Francisco Fernandez and German Galeano. A Study of Diversity in Multipopulation Genetic Programming. In Pierre Liardet and Pierre Collet and Cyril Fonlupt and Evelyne Lutton and Marc Schoenauer editors, Evolution Artificielle, 6th International Conference, volume 2936, pages 243-255, Marseilles, France, 2003. Springer. Revised Selected Papers. details

  38. G. Folino and C. Pizzuti and G. Spezzano and L. Vanneschi and M. Tomassini. Diversity analysis in cellular and multipopulation genetic programming. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 305-311, Canberra, 2003. IEEE Press. details

  39. F. Fernandez and M. Tomassini and L. Vanneschi. Saving computational effort in genetic programming by means of plagues. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 2042-2049, Canberra, 2003. IEEE Press. details

  40. Francisco Fernandez and Leonardo Vanneschi and Marco Tomassini. The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 317-326, Essex, 2003. Springer-Verlag. details

  41. Leonardo Vanneschi and Marco Tomassini. A Study on Fitness Distance Correlation and Problem Difficulty for Genetic Programming. In Sean Luke and Conor Ryan and Una-May O'Reilly editors, Graduate Student Workshop, pages 307-310, New York, 2002. AAAI. details

  42. Marco Tomassini and Leonardo Vanneschi and Francisco Fernandez and German Galeano. Experimental Investigation Of Three Distributed Genetic Programming Models. In Juan J. Merelo-Guervos and Panagiotis Adamidis and Hans-Georg Beyer and Jose-Luis Fernandez-Villacanas and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature - PPSN VII, pages 641-650, Granada, Spain, 2002. Springer-Verlag. details

  43. Mario Giacobini and Marco Tomassini and Leonardo Vanneschi. Limiting the Number Fitness Cases in Genetic Programming Using Statistics. In Juan J. Merelo-Guervos and Panagiotis Adamidis and Hans-Georg Beyer and Jose-Luis Fernandez-Villacanas and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature - PPSN VII, pages 371-380, Granada, Spain, 2002. Springer-Verlag. details

  44. Mario Giacobini and Marco Tomassini and Leonardo Vanneschi. How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming. In W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page 889, New York, 2002. Morgan Kaufmann Publishers. details

  45. G. Galeano and F. Fernandez and M. Tomassini and L. Vanneschi. Studying the influence of Synchronous and Asynchronous parallel GP on Programs' Length Evolution. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 1727-1732, 2002. IEEE Press. details

  46. Manuel Clergue and Philippe Collard and Marco Tomassini and Leonardo Vanneschi. Fitness Distance Correlation And Problem Difficulty For Genetic Programming. In W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 724-732, New York, 2002. Morgan Kaufmann Publishers. details

  47. Francisco Fernandez and Marco Tomassini and Leonardo Vanneschi. Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming. In Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors, Genetic Programming, Proceedings of EuroGP'2001, volume 2038, pages 51-63, Lake Como, Italy, 2001. Springer-Verlag. details

  48. F. Fernandez and M. Tomassini and L. Vanneschi and L. Bucher. A Distributed Computing Environment for Genetic Programming using MPI. In J. J. Dongarra and Peter Kacsuk and Norbert Podhorszki editors, Recent advances in parallel virtual machine and message passing interface: 7th European PVM\slash MPI Users' Group Meeting, volume 1908, pages 322-329, Balatonfured, Hungary, 2000. Springer-Verlag. details

Genetic Programming book chapters by Leonardo Vanneschi

  1. Leonardo Vanneschi and Riccardo Poli. Genetic Programming: Introduction, Applications, Theory and Open Issues. In Grzegorz Rozenberg and Thomas Baeck and Joost N. Kok editors, Handbook Natural Computing, chapter 24. Springer, 2011. details

  2. Sara Silva and Leonardo Vanneschi. The Importance of Being Flat-Studying the Program Length Distributions of Operator Equalisation. In Rick Riolo and Ekaterina Vladislavleva and Jason H. Moore editors, Genetic Programming Theory and Practice IX, chapter 12, pages 211-233. Springer, Ann Arbor, USA, 2011. details

  3. Riccardo Poli and Nicholas F. McPhee and Leonardo Vanneschi. Analysis of the Effects of Elitism on Bloat in Linear and Tree-based Genetic Programming. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice VI, chapter 7, pages 91-111. Springer, Ann Arbor, 2008. details

  4. Leonardo Vanneschi. Investigating Problem Hardness of Real Life Applications. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice V, chapter 7, pages 107-125. Springer, Ann Arbor, 2007. details

  5. Francisco Fernandez and Giandomenico Spezzano and Marco Tomassini and Leonardo Vanneschi. Parallel Genetic Programming. In Enrique Alba editor, Parallel Metaheuristics, chapter 6, pages 127-153. Wiley-Interscience, Hoboken, New Jersey, USA, 2005. details