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Marco Tomassini: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bastien Chopard, Marco Tomassini
    Randomized Computation with Cellular Automata. [Citation Graph (0, 0)][DBLP]
    ACRI, 2004, pp:71-80 [Conf]
  2. Christian Darabos, Mario Giacobini, Marco Tomassini
    Scale-Free Automata Networks Are Not Robust in a Collective Computational Task. [Citation Graph (0, 0)][DBLP]
    ACRI, 2006, pp:512-521 [Conf]
  3. Moshe Sipper, Marco Tomassini
    Evolvable Cellular Machines. [Citation Graph (0, 0)][DBLP]
    ACRI, 1996, pp:177-186 [Conf]
  4. Marco Tomassini
    Generalized Automata Networks. [Citation Graph (0, 0)][DBLP]
    ACRI, 2006, pp:14-28 [Conf]
  5. Marco Tomassini, Mattias Venzi
    Artificially Evolved Asynchronous Cellular Automata for the Density Task. [Citation Graph (0, 0)][DBLP]
    ACRI, 2002, pp:44-55 [Conf]
  6. Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi
    Neutral Fitness Landscape in the Cellular Automata Majority Problem. [Citation Graph (0, 0)][DBLP]
    ACRI, 2006, pp:258-267 [Conf]
  7. Mario Giacobini, Marco Tomassini, Andrea Tettamanzi
    Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2003, pp:345-356 [Conf]
  8. Marco Tomassini, Leonardo Vanneschi, Francisco Fernández, Germán Galeano Gil
    A Study of Diversity in Multipopulation Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2003, pp:243-255 [Conf]
  9. Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue
    A Survey of Problem Difficulty in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2005, pp:66-77 [Conf]
  10. Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa
    Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks. [Citation Graph (0, 0)][DBLP]
    BVAI, 2005, pp:59-68 [Conf]
  11. Leslie Luthi, Mario Giacobini, Marco Tomassini
    Emergence of Structure and Stability in the Prisoner's Dilemma on Networks. [Citation Graph (0, 0)][DBLP]
    ECAL, 2005, pp:665-674 [Conf]
  12. Francisco Fernández de Vega, Marco Tomassini, William F. Punch III, Juan Manuel Sánchez-Pérez
    Experimental Study of Multipopulation Parallel Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2000, pp:283-293 [Conf]
  13. Francisco Fernández de Vega, Marco Tomassini, Leonardo Vanneschi
    Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2001, pp:51-63 [Conf]
  14. Paul Albuquerque, Bastien Chopard, Christian Mazza, Marco Tomassini
    On the Impact of the Representation on Fitness Landscapes. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2000, pp:1-15 [Conf]
  15. Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini
    Genetic Programming, Validation Sets, and Parsimony Pressure. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2006, pp:109-120 [Conf]
  16. Denis Rochat, Marco Tomassini, Leonardo Vanneschi
    Dynamic Size Populations in Distributed Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2005, pp:50-61 [Conf]
  17. Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue
    Fitness Distance Correlation in Structural Mutation Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2003, pp:455-464 [Conf]
  18. Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel
    Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2006, pp:178-189 [Conf]
  19. Francisco Fernández de Vega, Leonardo Vanneschi, Marco Tomassini
    The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2003, pp:317-326 [Conf]
  20. Mario Giacobini, Mike Preuss, Marco Tomassini
    Effects of Scale-Free and Small-World Topologies on Binary Coded Self-adaptive CEA. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2006, pp:86-98 [Conf]
  21. Manuel Clergue, Philippe Collard, Marco Tomassini, Leonardo Vanneschi
    Fitness Distance Correlation And Problem Difficulty For Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:724-732 [Conf]
  22. Francisco Fernández, Marco Tomassini, William F. Punch, J. M. Sánchez
    Experimental Study of Isolated Multipulation Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:536- [Conf]
  23. Mario Giacobini, Enrique Alba, Marco Tomassini
    Selection Intensity in Asynchronous Cellular Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:955-966 [Conf]
  24. Mario Giacobini, Enrique Alba, Andrea Tettamanzi, Marco Tomassini
    Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:1138-1149 [Conf]
  25. Mario Giacobini, Marco Tomassini, Andrea Tettamanzi
    Takeover time curves in random and small-world structured populations. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1333-1340 [Conf]
  26. Mario Giacobini, Marco Tomassini, Leonardo Vanneschi
    How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:889- [Conf]
  27. José Ignacio Hidalgo, Francisco Fernández de Vega, Juan Lanchares, Juan Manuel Sánchez-Pérez, Román Hermida, Marco Tomassini, Ranieri Baraglia, Raffaele Perego, Oscar Garnica
    Multi-FPGA Systems Synthesis by Means of Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:2109-2120 [Conf]
  28. Marco Tomassini, Leonardo Vanneschi, Francisco Fernández de Vega, Germán Galeano Gil
    Diversity in Multipopulation Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1812-1813 [Conf]
  29. Leonardo Vanneschi, Manuel Clergue, Philippe Collard, Marco Tomassini, Sébastien Vérel
    Fitness Clouds and Problem Hardness in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:690-701 [Conf]
  30. Leonardo Vanneschi, Marco Tomassini, Manuel Clergue, Philippe Collard
    Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1788-1799 [Conf]
  31. Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa
    Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:127-132 [Conf]
  32. Francisco Fernández de Vega, Juan Manuel Sánchez-Pérez, Marco Tomassini
    Placing and Routing Circuits on FPGAs by Means of Parallel and Distributed Genetic Programming. [Citation Graph (0, 0)][DBLP]
    ICES, 2001, pp:204-215 [Conf]
  33. Maxime Goeke, Moshe Sipper, Daniel Mange, André Stauffer, Eduardo Sanchez, Marco Tomassini
    Online Autonomous Evolware. [Citation Graph (0, 0)][DBLP]
    ICES, 1996, pp:96-106 [Conf]
  34. Eduardo Sanchez, Daniel Mange, Moshe Sipper, Marco Tomassini, Andrés Pérez-Uribe, André Stauffer
    Phylogeny, Ontogeny, and Epigenesis: Three Sources of Biological Inspiration for Softening Hardware. [Citation Graph (0, 0)][DBLP]
    ICES, 1996, pp:35-54 [Conf]
  35. Marco Tomassini
    Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    Towards Evolvable Hardware, 1995, pp:19-47 [Conf]
  36. Enrique Alba, Mario Giacobini, Marco Tomassini, Sergio Romero
    Comparing Synchronous and Asynchronous Cellular Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:601-610 [Conf]
  37. Mathieu S. Capcarrère, Andrea Tettamanzi, Marco Tomassini, Moshe Sipper
    Studying Parallel Evolutionary Algorithms: The Cellular Programming Case. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:573-582 [Conf]
  38. Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini
    Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:1008-1017 [Conf]
  39. Mario Giacobini, Marco Tomassini, Leonardo Vanneschi
    Limiting the Number of Fitness Cases in Genetic Programming Using Statistics. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:371-380 [Conf]
  40. Moshe Sipper, Marco Tomassini
    Co-evolving Parallel Random Number Generators. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:950-959 [Conf]
  41. Marco Tomassini, Mario Giacobini, Christian Darabos
    Evolution of Small-World Networks of Automata for Computation. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:672-681 [Conf]
  42. Marco Tomassini, Mathieu Perrenoud
    Stream Cyphers with One- and Two-Dimensional Cellular Automata. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:722-731 [Conf]
  43. Marco Tomassini, Mattias Venzi
    Evolution of Asynchronous Cellular Automata for the Density Task. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:934-944 [Conf]
  44. Marco Tomassini, Leonardo Vanneschi, Francisco Fernández de Vega, Germán Galeano Gil
    Experimental Investigation of Three Distributed Genetic Programming Models. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:641-650 [Conf]
  45. Francisco Fernández de Vega, Juan Manuel Sánchez-Pérez, Marco Tomassini, Juan Antonio Gómez Pulido
    A Parallel Genetic Programming Tool Based on PVM. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 1999, pp:241-248 [Conf]
  46. Francisco Fernández de Vega, Marco Tomassini, Leonardo Vanneschi, Laurent Bucher
    A Distributed Computing Environment for Genetic Programming Using MPI. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2000, pp:322-329 [Conf]
  47. Leslie Luthi, Mario Giacobini, Marco Tomassini
    Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners. [Citation Graph (0, 0)][DBLP]
    CIG, 2005, pp:- [Conf]
  48. Marco Tomassini, Mathieu Perrenoud
    Cryptography with cellular automata. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2001, v:1, n:2, pp:151-160 [Journal]
  49. Mathieu S. Capcarrère, Andrea Tettamanzi, Marco Tomassini, Moshe Sipper
    A Statistical Study of a Class of Cellular Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1999, v:7, n:3, pp:255-274 [Journal]
  50. Marco Tomassini, Leonardo Vanneschi, Philippe Collard, Manuel Clergue
    A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2005, v:13, n:2, pp:213-239 [Journal]
  51. Francisco Fernández de Vega, Marco Tomassini, Leonardo Vanneschi
    An Empirical Study of Multipopulation Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2003, v:4, n:1, pp:21-51 [Journal]
  52. Bastien Chopard, Olivier V. Pictet, Marco Tomassini
    Parallel and distributed evolutionary computation for financial applications. [Citation Graph (0, 0)][DBLP]
    Parallel Algorithms Appl., 2000, v:15, n:1-2, pp:15-36 [Journal]
  53. Marco Tomassini, Moshe Sipper, Mathieu Perrenoud
    On the Generation of High-Quality Random Numbers by Two-Dimensional Cellular Automata. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 2000, v:49, n:10, pp:1146-1151 [Journal]
  54. Moshe Sipper, Marco Tomassini
    Computation in Artificially Evolved, Non-Uniform Cellular Automata. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1999, v:217, n:1, pp:81-98 [Journal]
  55. Enrique Alba, Marco Tomassini
    Parallelism and evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:5, pp:443-462 [Journal]
  56. Mario Giacobini, Marco Tomassini, Andrea Tettamanzi, Enrique Alba
    Selection intensity in cellular evolutionary algorithms for regular lattices. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:5, pp:489-505 [Journal]
  57. Moshe Sipper, Eduardo Sanchez, Daniel Mange, Marco Tomassini, Andrés Pérez-Uribe, André Stauffer
    A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1997, v:1, n:1, pp:83-97 [Journal]
  58. Leslie Luthi, Enea Pestelacci, Marco Tomassini
    Evolutionary Dilemmas in a Social Network. [Citation Graph (0, 0)][DBLP]
    ECAL, 2007, pp:545-554 [Conf]
  59. Christian Darabos, Mario Giacobini, Marco Tomassini
    Semi-synchronous Activation in Scale-Free Boolean Networks. [Citation Graph (0, 0)][DBLP]
    ECAL, 2007, pp:976-985 [Conf]
  60. Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel, Yuri Pirola, Giancarlo Mauri
    A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2007, pp:241-250 [Conf]
  61. Leslie Luthi, Marco Tomassini, Mario Giacobini, William B. Langdon
    The genetic programming collaboration network and its communities. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1643-1650 [Conf]
  62. Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini
    Ensemble learning for free with evolutionary algorithms? [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1782-1789 [Conf]
  63. Leonardo Vanneschi, Denis Rochat, Marco Tomassini
    Multi-optimization improves genetic programming generalization ability. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1759- [Conf]
  64. Marco Tomassini
    Evolutionary games: the Darwin connection. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:3675-3689 [Conf]
  65. Benoît Garbinato, Denis Rochat, Marco Tomassini
    Impact of Scale-free Topologies on Gossiping in Ad Hoc Networks. [Citation Graph (0, 0)][DBLP]
    NCA, 2007, pp:269-272 [Conf]
  66. Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini
    Ensemble Learning for Free with Evolutionary Algorithms ? [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  67. Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini
    Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  68. Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini
    Genetic Programming, Validation Sets, and Parsimony Pressure [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  69. Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi
    Fitness landscape of the cellular automata majority problem: View from the Olympus [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  70. Marco Tomassini, Moshe Sipper, Mosé Zolla, Mathieu Perrenoud
    Generating high-quality random numbers in parallel by cellular automata. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 1999, v:16, n:2-3, pp:291-305 [Journal]
  71. Marco Tomassini, Leslie Luthi, Mario Giacobini, William B. Langdon
    The structure of the genetic programming collaboration network. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2007, v:8, n:1, pp:97-103 [Journal]
  72. Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi
    Fitness landscape of the cellular automata majority problem: View from the "Olympus". [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2007, v:378, n:1, pp:54-77 [Journal]

  73. An MPI-Based Tool for Distributed Genetic Programming. [Citation Graph (, )][DBLP]


  74. Negative Slope Coefficient and the Difficulty of Random 3-SAT Instances. [Citation Graph (, )][DBLP]


  75. NK Landscapes Difficulty and Negative Slope Coefficient: How Sampling Influences the Results. [Citation Graph (, )][DBLP]


  76. Improving Parallel GA Performances by Means of Plagues. [Citation Graph (, )][DBLP]


  77. A study of NK landscapes' basins and local optima networks. [Citation Graph (, )][DBLP]


  78. Fuzzy Growing Hierarchical Self-Organizing Networks. [Citation Graph (, )][DBLP]


  79. Prototype Proliferation in the Growing Neural Gas Algorithm. [Citation Graph (, )][DBLP]


  80. Evolution of Conventions and Social Polarization in Dynamical Complex Networks. [Citation Graph (, )][DBLP]


  81. Cooperation in Co-evolving Networks: The Prisoner's Dilemma and Stag-Hunt Games. [Citation Graph (, )][DBLP]


  82. First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes. [Citation Graph (, )][DBLP]


  83. Diversity analysis in cellular and multipopulation genetic programming. [Citation Graph (, )][DBLP]


  84. Fitness distance correlation in genetic programming: a constructive counterexample. [Citation Graph (, )][DBLP]


  85. Conformity and network effects in the Prisoner's Dilemma. [Citation Graph (, )][DBLP]


  86. Power-efficient gossiping in multi-hop ad hoc networks. [Citation Graph (, )][DBLP]


  87. Neutral Fitness Landscape in the Cellular Automata Majority Problem [Citation Graph (, )][DBLP]


  88. A Study of NK Landscapes' Basins and Local Optima Networks [Citation Graph (, )][DBLP]


  89. The Connectivity of NK Landscapes' Basins: A Network Analysis [Citation Graph (, )][DBLP]


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