Genetic Programming Bibliography entries for Marco Tomassini

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GP coauthors/coeditors: Paul Albuquerque, Bastien Chopard, Christian Mazza, Olivier V Pictet, Manuel Clergue, Philippe Collard, Leonardo Vanneschi, Pierre Collet, Marc Ebner, Steven M Gustafson, Aniko Ekart, Francisco Fernandez de Vega, Juan Manuel Sanchez Perez, Juan Antonio Gomez, Laurent Bucher, William F Punch, Laura M Roa, Giandomenico Spezzano, Gianluigi Folino, Clara Pizzuti, Christian Gagne, Marc Schoenauer, Marc Parizeau, Michele Sebag, German Galeano, Mario Giacobini, Maarten Keijzer, Andrea G B Tettamanzi, Jano I van Hemert, Leslie Luthi, William B Langdon, Christian Miccio, Eduardo Sanchez, Julian F Miller, Pier Luca Lanzi, Conor Ryan, Mouloud Oussaidene, Denis Rochat, Jerome Cuendet, Sebastien Verel, Yuri Pirola, Giancarlo Mauri,

Genetic Programming Articles by Marco Tomassini

  1. 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, 425:34-57, 2012. details

  2. 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

  3. Marco Tomassini and Leslie Luthi. Empirical analysis of the evolution of a scientific collaboration network. Physica A, 385:750-764, 2007. Available online 25 July 2007. details

  4. Marco Tomassini and L. Luthi and M. Giacobini and W. B. Langdon. The Structure of the Genetic Programming Collaboration Network. Genetic Programming and Evolvable Machines, 8(1):97-103, 2007. details

  5. 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

  6. 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

  7. Bastien Chopard and Olivier Pictet and Marco Tomassini. Parallel and distributed evolutionary computation for financial applications. Parallel Algorithms and Applications, 15:15-36, 2000. details

  8. Mouloud Oussaid\`ene and Bastien Chopard and Olivier V. Pictet and Marco Tomassini. Parallel Genetic Programming and its application to trading model induction. Parallel Computing, 23(8):1183-1198, 1997. details

Genetic Programming Conference proceedings edited by Marco Tomassini

Genetic Programming conference papers by Marco Tomassini

  1. 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

  2. Leslie Luthi and Marco Tomassini and Mario Giacobini and William B. Langdon. The Genetic Programming Collaboration Network and its Communities. 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 1643-1650, London, 2007. ACM Press. details

  3. 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

  4. 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

  5. Christian Gagn\'e and Marc Schoenauer and Marc Parizeau and Marco Tomassini. Genetic Programming, Validation Sets, and Parsimony Pressure. 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 109-120, Budapest, Hungary, 2006. Springer. details

  6. Christian Gagne and Marc Schoenauer and Michele Sebag and Marco Tomassini. Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. In Thomas Philip Runarsson and Hans-Georg Beyer and Edmund Burke and Juan J. Merelo-Guervos and L. Darrell Whitley and Xin Yao editors, Parallel Problem Solving from Nature - PPSN IX, volume 4193, pages 1008-1017, Reykjavik, Iceland, 2006. Springer-Verlag. details

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. F. Fernandez and M. Tomassini. Studying the Optimal Parameter Range of Values in PADGP by Means of Real-life Problems. In Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, pages 436-441, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 2001. IEEE Press. details

  27. F. Fernandez and J. M. Sanchez and M. Tomassini. A new methodology for the Placement and Routing problem based on PADGP. In Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page 175, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  28. 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

  29. F. Fernandez and J. M. Sanchez and M. Tomassini. Placing and Routing Circuits on FPGAs by Means of Parallel and Distributed Genetic Programming. In Yong Liu and Kiyoshi Tanaka and Masaya Iwata and Tetsuya Higuchi and Moritoshi Yasunaga editors, Evolvable Systems: From Biology to Hardware, Proceedings of the 4th International Conference, ICES 2001, volume 2210, pages 204-214, Tokyo, Japan, 2001. Springer-Verlag. details

  30. F. Fernandez de Vega and Laura M. Roa and Marco Tomassini and J. M. Sanchez. Multipopulation Genetic Programing Applied to Burn Diagnosing. In Proceedings of the 2000 Congress on Evolutionary Computation CEC00, volume 2, pages 1292-1296, La Jolla Marriott Hotel La Jolla, California, USA, 2000. IEEE Press. details

  31. F. Fernandez and M. Tomassini and W. F. Punch III and J. M. Sanchez. Experimental Study of Multipopulation Parallel Genetic Programming. In Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'2000, volume 1802, pages 283-293, Edinburgh, 2000. Springer-Verlag. details

  32. Francisco Fernandez and Marco Tomassini and J. M. Sanchez. Experimental Study of Isolated Multipopulation Genetic Programming. In Proceedings of the 26th Annual Conference of the IEEE Industrial Electronics Society, volume 1697, pages 2672-2677 vol.4, Nagoya, Japan, 2000. IEEE Press. details

  33. Francisco Fernandez and Marco Tomassini. Genetic programming and reconfigurable hardware: A proposal for solving the problem of placement and routing. In Conor Ryan and Una-May O'Reilly and William B. Langdon editors, Graduate Student Workshop, pages 265-268, Las Vegas, Nevada, USA, 2000. details

  34. Paul Albuquerque and Bastien Chopard and Christian Mazza and Marco Tomassini. On the Impact of the Representation on Fitness Landscapes. In Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'2000, volume 1802, pages 1-15, Edinburgh, 2000. Springer-Verlag. details

  35. Francisco Fernandez and Marco Tomassini and William Punch and J. M. Sanchez. Experimental Study of Isolated Multipopulation Genetic Programming. In Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), page 536, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  36. Francisco Fernandez and Marco Tomassini and Leonardo Vanneschi and Laurent Bucher. A Distributed Computing Environment for Genetic Programming using MPI. In Jack 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

  37. Francisco Fernandez and Marco Tomassini and J. M. Sanchez. Solving the Ant and the Even Parity-5 problems by means of parallel genetic programming. In Scott Brave and Annie S. Wu editors, Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference, pages 88-92, Orlando, Florida, USA, 1999. details

  38. F. Fernandez and J. M. Sanchez and M. Tomassini and J. A. Gomez. A Parallel Genetic Programming Tool based on PVM. In Jack Dongarra and Emilio Luque and Tomas Margalef editors, Recent Advances in Parallel Virtual Machine and Message Passing Interface, Proceedings of the 6th European PVM/MPI Users' Group Meeting, volume 1697, pages 241-248, Barcelona, Spain, 1999. Springer-Verlag. details

  39. Mouloud Oussaidene and Bastien Chopard and Olivier V. Pictet and Marco Tomassini. Parallel Genetic Programming: An Application to Trading Models Evolution. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 357-380, Stanford University, CA, USA, 1996. MIT Press. details

  40. Mouloud Oussaidene and Bastien Chopard and Marco Tomassini. Programmation \'evolutionniste parall\`ele. In J. L. Dekeyser and G. Libert and P. Manneback editors, Actes des 7es Rencontres Francophones du Parallelisme, RenPar '7, pages 221-225, University of Mons, Belgium, 1995. details

Genetic Programming book chapters by Marco Tomassini

Genetic Programming technical reports by Marco Tomassini