Marco Tomassini

Marco Tomassini, Fabio Daolio: A Complex-Networks View of Hard Combinatorial Search Spaces. EVOLVE 2013: 223-245

Vitor H. P. Louzada, Fabio Daolio, Hans J. Herrmann, Marco Tomassini: Smart Rewiring for Network Robustness. CoRR abs/1303.5269 (2013)

Leonardo Vanneschi, Yuri Pirola, Giancarlo Mauri, Marco Tomassini, Philippe Collard, Sébastien Vérel: A study of the neutrality of Boolean function landscapes in genetic programming. Theor. Comput. Sci. 425: 34-57 (2012)

Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini: Local optima networks and the performance of iterated local search. GECCO 2012: 369-376

J. Francisco Chicano, Fabio Daolio, Gabriela Ochoa, Sébastien Vérel, Marco Tomassini, Enrique Alba: Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance. PPSN (2) 2012: 337-347

Pierre Buesser, Marco Tomassini: Supercooperation in Evolutionary Games on Correlated Weighted Networks. CoRR abs/1201.6257 (2012)

Vitor H. P. Louzada, Fabio Daolio, Hans J. Herrmann, Marco Tomassini: Generating Robust and Efficient Networks Under Targeted Attacks. CoRR abs/1207.1291 (2012)

Alberto Antonioni, Marco Tomassini: Cooperation on Social Networks and Its Robustness. CoRR abs/1207.2566 (2012)

Alberto Antonioni, Marco Tomassini: Degree Correlations in Random Geometric Graphs. CoRR abs/1207.2573 (2012)

Marco Tomassini, Sébastien Vérel, Gabriela Ochoa: Complex-network analysis of combinatorial spaces: The NK landscape case. CoRR abs/1207.4442 (2012)

Fabio Daolio, Marco Tomassini, Sébastien Vérel, Gabriela Ochoa: Communities of Minima in Local Optima Networks of Combinatorial Spaces. CoRR abs/1207.4445 (2012)

Gabriela Ochoa, Sébastien Vérel, Marco Tomassini: First-improvement vs. Best-improvement Local Optima Networks of NK Landscapes. CoRR abs/1207.4455 (2012)

Gabriela Ochoa, Sébastien Vérel, Fabio Daolio, Marco Tomassini: Clustering of Local Optima in Combinatorial Fitness Landscapes. CoRR abs/1207.4632 (2012)

Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini: Local optima networks and the performance of iterated local search. CoRR abs/1210.3946 (2012)

J. Francisco Chicano, Fabio Daolio, Gabriela Ochoa, Sébastien Vérel, Marco Tomassini, Enrique Alba: Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance. CoRR abs/1210.4021 (2012)

Pierre Buesser, Marco Tomassini: Evolution of Cooperation on Spatially Embedded Networks. CoRR abs/1212.2788 (2012)

Christian Darabos, Marco Tomassini, Ferdinando Di Cunto, Paolo Provero, Jason H. Moore, Mario Giacobini: Toward robust network based complex systems: from evolutionary cellular automata to biological models. Intelligenza Artificiale 5(1): 37-47 (2011)

Sébastien Vérel, Gabriela Ochoa, Marco Tomassini: Local Optima Networks of NK Landscapes With Neutrality. IEEE Trans. Evolutionary Computation 15(6): 783-797 (2011)

Sébastien Vérel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini: Local Optima Networks with Escape Edges. Artificial Evolution 2011: 49-60

Christian Darabos, Ferdinando Di Cunto, Marco Tomassini, Jason H. Moore, Paolo Provero, Mario Giacobini: Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism. EvoBio 2011: 59-68

Marco Tomassini: Evolutionary games: the Darwin connection. GECCO (Companion) 2011: 1469-1480

Pierre Buesser, Fabio Daolio, Marco Tomassini: Optimizing the Robustness of Scale-Free Networks with Simulated Annealing. ICANNGA (2) 2011: 167-176

Gabriela Ochoa, Sébastien Vérel, Fabio Daolio, Marco Tomassini: Clustering of Local Optima in Combinatorial Fitness Landscapes. LION 2011: 454-457

Fabio Daolio, Marco Tomassini, Konstantin Bitkov: The Swiss Board Directors Network in 2009. CoRR abs/1106.5594 (2011)

Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini: Local Optima Networks of the Quadratic Assignment Problem. CoRR abs/1107.4161 (2011)

Sébastien Vérel, Gabriela Ochoa, Marco Tomassini: Local Optima Networks of NK Landscapes with Neutrality. CoRR abs/1107.4162 (2011)

Leonardo Vanneschi, Sébastien Vérel, Philippe Collard, Marco Tomassini: NK landscapes difficulty and Negative Slope Coefficient: How Sampling Influences the Results. CoRR abs/1107.4164 (2011)

Marco Tomassini, Enea Pestelacci, Leslie Luthi: Mutual trust and cooperation in the evolutionary hawks-doves game. Biosystems 99(1): 50-59 (2010)

Benoît Garbinato, Denis Rochat, Marco Tomassini, François Vessaz: Injecting power-awareness into epidemic information dissemination in sensor networks. Future Generation Comp. Syst. 26(6): 868-876 (2010)

Marco Tomassini, Enea Pestelacci: Coordination Games on Dynamical Networks. Games 1(3): 242-261 (2010)

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

Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini: Local Optima Networks of the Quadratic Assignment Problem. IEEE Congress on Evolutionary Computation 2010: 1-8

Gabriela Ochoa, Sébastien Vérel, Marco Tomassini: First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes. PPSN (1) 2010: 104-113

Enea Pestelacci, Marco Tomassini: Evolution of Conventions and Social Polarization in Dynamical Complex Networks. PPSN (2) 2010: 512-522

Marco Tomassini, Enea Pestelacci: Evolution of Coordination in Social Networks: A Numerical Study. CoRR abs/1011.1081 (2010)

Leslie Luthi, Marco Tomassini, Enea Pestelacci: Evolutionary games on networks and payoff invariance under replicator dynamics. Biosystems 96(3): 213-222 (2009)

Marco Tomassini, Leonardo Vanneschi: Introduction: special issue on parallel and distributed evolutionary algorithms, part I. Genetic Programming and Evolvable Machines 10(4): 339-341 (2009)

Jorge Peña, Enea Pestelacci, Marco Tomassini, Henri Volken: Conformity and network effects in the Prisoner's Dilemma. IEEE Congress on Evolutionary Computation 2009: 506-513

Christian Darabos, Mario Giacobini, Marco Tomassini, Paolo Provero, Ferdinando Di Cunto: Are Cells Really Operating at the Edge of Chaos? - A Case Study of Two Real-Life Regulatory Networks. ECAL (1) 2009: 281-288

Christian Darabos, Mario Giacobini, Marco Tomassini: Transient Perturbations on Scale-Free Boolean Networks with Topology Driven Dynamics. ECAL (1) 2009: 337-344

Leonardo Vanneschi, Sébastien Vérel, Marco Tomassini, Philippe Collard: NK Landscapes Difficulty and Negative Slope Coefficient: How Sampling Influences the Results. EvoWorkshops 2009: 645-654

Héctor F. Satizábal, Andrés Pérez-Uribe, Marco Tomassini: Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets. Constructive Neural Networks 2009: 243-260

Miguel Arturo Barreto-Sanz, Andrés Pérez-Uribe, Carlos Andrés Peña-Reyes, Marco Tomassini: Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks. Constructive Neural Networks 2009: 261-279

Benoît Garbinato, Denis Rochat, Marco Tomassini: Power-efficient gossiping in multi-hop ad hoc networks. Autonomics 2008: 28

Marco Tomassini, Leonardo Vanneschi: Negative Slope Coefficient and the Difficulty of Random 3-SAT Instances. EvoWorkshops 2008: 643-648

Gabriela Ochoa, Marco Tomassini, Sébastien Vérel, Christian Darabos: A study of NK landscapes' basins and local optima networks. GECCO 2008: 555-562

Miguel Arturo Barreto-Sanz, Andrés Pérez-Uribe, Carlos Andrés Peña-Reyes, Marco Tomassini: Fuzzy Growing Hierarchical Self-Organizing Networks. ICANN (2) 2008: 713-722

Héctor F. Satizábal, Andrés Pérez-Uribe, Marco Tomassini: Prototype Proliferation in the Growing Neural Gas Algorithm. ICANN (2) 2008: 793-802

Enea Pestelacci, Marco Tomassini: Cooperation in Co-evolving Networks: The Prisoner's Dilemma and Stag-Hunt Games. PPSN 2008: 539-548

Daniel Jiménez R., Andrés Pérez-Uribe, Héctor F. Satizábal, Miguel Arturo Barreto-Sanz, Patrick Van Damme, Marco Tomassini: A Survey of Artificial Neural Network-Based Modeling in Agroecology. Soft Computing Applications in Industry 2008: 247-269

Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi: Neutral Fitness Landscape in the Cellular Automata Majority Problem. CoRR abs/0803.4240 (2008)

Gabriela Ochoa, Marco Tomassini, Sébastien Vérel, Christian Darabos: A Study of NK Landscapes' Basins and Local Optima Networks. CoRR abs/0810.3484 (2008)

Sébastien Vérel, Gabriela Ochoa, Marco Tomassini: The Connectivity of NK Landscapes' Basins: A Network Analysis. CoRR abs/0810.3492 (2008)

Christian Darabos, Mario Giacobini, Marco Tomassini: Performance and Robustness of Cellular Automata Computation on Irregular Networks. Advances in Complex Systems 10(supp01): 85-110 (2007)

Marco Tomassini, Leslie Luthi, Mario Giacobini, William B. Langdon: The structure of the genetic programming collaboration network. Genetic Programming and Evolvable Machines 8(1): 97-103 (2007)

Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi: Fitness landscape of the cellular automata majority problem: View from the "Olympus". Theor. Comput. Sci. 378(1): 54-77 (2007)

Leslie Luthi, Enea Pestelacci, Marco Tomassini: Evolutionary Dilemmas in a Social Network. ECAL 2007: 545-554

Christian Darabos, Mario Giacobini, Marco Tomassini: Semi-synchronous Activation in Scale-Free Boolean Networks. ECAL 2007: 976-985

Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel, Yuri Pirola, Giancarlo Mauri: A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds. EuroGP 2007: 241-250

Leslie Luthi, Marco Tomassini, Mario Giacobini, William B. Langdon: The genetic programming collaboration network and its communities. GECCO 2007: 1643-1650

Leonardo Vanneschi, Denis Rochat, Marco Tomassini: Multi-optimization improves genetic programming generalization ability. GECCO 2007: 1759

Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini: Ensemble learning for free with evolutionary algorithms? GECCO 2007: 1782-1789

Marco Tomassini: Evolutionary games: the Darwin connection. GECCO (Companion) 2007: 3675-3689

Benoît Garbinato, Denis Rochat, Marco Tomassini: Impact of Scale-free Topologies on Gossiping in Ad Hoc Networks. NCA 2007: 269-272

Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini: Ensemble Learning for Free with Evolutionary Algorithms ? CoRR abs/0704.3905 (2007)

Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi: Fitness landscape of the cellular automata majority problem: View from the Olympus. CoRR abs/0709.3974 (2007)

Marco Tomassini: Generalized Automata Networks. ACRI 2006: 14-28

Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi: Neutral Fitness Landscape in the Cellular Automata Majority Problem. ACRI 2006: 258-267

Christian Darabos, Mario Giacobini, Marco Tomassini: Scale-Free Automata Networks Are Not Robust in a Collective Computational Task. ACRI 2006: 512-521

Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini: Genetic Programming, Validation Sets, and Parsimony Pressure. EuroGP 2006: 109-120

Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel: Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes. EuroGP 2006: 178-189

Mario Giacobini, Mike Preuss, Marco Tomassini: Effects of Scale-Free and Small-World Topologies on Binary Coded Self-adaptive CEA. EvoCOP 2006: 86-98

Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini: Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. PPSN 2006: 1008-1017

Pierre Collet, Marco Tomassini, Marc Ebner, Steven Gustafson, Anikó Ekárt (Eds.): Genetic Programming, 9th European Conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006, Proceedings. Lecture Notes in Computer Science 3905, Springer 2006, isbn 3-540-33143-3

Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini: Genetic Programming, Validation Sets, and Parsimony Pressure. CoRR abs/cs/0601044 (2006)

Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini: Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection. CoRR abs/cs/0611135 (2006)

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

Mario Giacobini, Marco Tomassini, Andrea Tettamanzi, Enrique Alba: Selection intensity in cellular evolutionary algorithms for regular lattices. IEEE Trans. Evolutionary Computation 9(5): 489-505 (2005)

Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue: A Survey of Problem Difficulty in Genetic Programming. AI*IA 2005: 66-77

Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa: Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks. BVAI 2005: 59-68

Leslie Luthi, Mario Giacobini, Marco Tomassini: Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners. CIG 2005

Leslie Luthi, Mario Giacobini, Marco Tomassini: Emergence of Structure and Stability in the Prisoner's Dilemma on Networks. ECAL 2005: 665-674

Denis Rochat, Marco Tomassini, Leonardo Vanneschi: Dynamic Size Populations in Distributed Genetic Programming. EuroGP 2005: 50-61

Mario Giacobini, Marco Tomassini, Andrea Tettamanzi: Takeover time curves in random and small-world structured populations. GECCO 2005: 1333-1340

Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa: Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity. ICANN (1) 2005: 127-132

Maarten Keijzer, Andrea Tettamanzi, Pierre Collet, Jano I. van Hemert, Marco Tomassini (Eds.): Genetic Programming, 8th European Conference, EuroGP2005, Lausanne, Switzerland, March 30 - April 1, 2005, Proceedings. Lecture Notes in Computer Science 3447, Springer 2005, isbn 3-540-25436-6

Bastien Chopard, Marco Tomassini: Randomized Computation with Cellular Automata. ACRI 2004: 71-80

Francisco Fernández, Marco Tomassini: Improving Parallel GA Performances by Means of Plagues. Fuzzy Days 2004: 515-523

Leonardo Vanneschi, Manuel Clergue, Philippe Collard, Marco Tomassini, Sébastien Vérel: Fitness Clouds and Problem Hardness in Genetic Programming. GECCO (2) 2004: 690-701

Mario Giacobini, Enrique Alba, Andrea Tettamanzi, Marco Tomassini: Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms. GECCO (1) 2004: 1138-1149

Marco Tomassini, Mario Giacobini, Christian Darabos: Evolution of Small-World Networks of Automata for Computation. PPSN 2004: 672-681

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

Marco Tomassini, Leonardo Vanneschi, Francisco Fernández, Germán Galeano Gil: A Study of Diversity in Multipopulation Genetic Programming. Artificial Evolution 2003: 243-255

Mario Giacobini, Marco Tomassini, Andrea Tettamanzi: Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms. Artificial Evolution 2003: 345-356

Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue: Fitness distance correlation in genetic programming: a constructive counterexample. IEEE Congress on Evolutionary Computation (1) 2003: 289-296

Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano, Leonardo Vanneschi, Marco Tomassini: Diversity analysis in cellular and multipopulation genetic programming. IEEE Congress on Evolutionary Computation (1) 2003: 305-311

Francisco Fernández de Vega, Leonardo Vanneschi, Marco Tomassini: The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations. EuroGP 2003: 317-326

Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue: Fitness Distance Correlation in Structural Mutation Genetic Programming. EuroGP 2003: 455-464

Mario Giacobini, Enrique Alba, Marco Tomassini: Selection Intensity in Asynchronous Cellular Evolutionary Algorithms. GECCO 2003: 955-966

Leonardo Vanneschi, Marco Tomassini, Manuel Clergue, Philippe Collard: Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming. GECCO 2003: 1788-1799

Marco Tomassini, Leonardo Vanneschi, Francisco Fernández de Vega, Germán Galeano Gil: Diversity in Multipopulation Genetic Programming. GECCO 2003: 1812-1813

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. GECCO 2003: 2109-2120

Enrique Alba, Marco Tomassini: Parallelism and evolutionary algorithms. IEEE Trans. Evolutionary Computation 6(5): 443-462 (2002)

Marco Tomassini, Mattias Venzi: Artificially Evolved Asynchronous Cellular Automata for the Density Task. ACRI 2002: 44-55

Manuel Clergue, Philippe Collard, Marco Tomassini, Leonardo Vanneschi: Fitness Distance Correlation And Problem Difficulty For Genetic Programming. GECCO 2002: 724-732

Mario Giacobini, Marco Tomassini, Leonardo Vanneschi: How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming. GECCO 2002: 889

Mario Giacobini, Marco Tomassini, Leonardo Vanneschi: Limiting the Number of Fitness Cases in Genetic Programming Using Statistics. PPSN 2002: 371-380

Enrique Alba, Mario Giacobini, Marco Tomassini, Sergio Romero: Comparing Synchronous and Asynchronous Cellular Genetic Algorithms. PPSN 2002: 601-610

Marco Tomassini, Leonardo Vanneschi, Francisco Fernández de Vega, Germán Galeano Gil: Experimental Investigation of Three Distributed Genetic Programming Models. PPSN 2002: 641-650

Marco Tomassini, Mattias Venzi: Evolution of Asynchronous Cellular Automata for the Density Task. PPSN 2002: 934-944

Stefania Bandini, Bastien Chopard, Marco Tomassini (Eds.): Cellular Automata, 5th International Conference on Cellular Automata for Research and Industry, ACRI 2002, Geneva, Switzerland, October 9-11, 2002, Proceedings. Lecture Notes in Computer Science 2493, Springer 2002, isbn 3-540-44304-5

Andrea Tettamanzi, Marco Tomassini: Soft computing - integrating evolutionary, neural, and fuzzy systems. Springer 2001, isbn 978-3-540-42204-4, pp. I-XIII, 1-328

Marco Tomassini, Mathieu Perrenoud: Cryptography with cellular automata. Appl. Soft Comput. 1(2): 151-160 (2001)

Francisco Fernández de Vega, Marco Tomassini, Leonardo Vanneschi: Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming. EuroGP 2001: 51-63

Francisco Fernández de Vega, Juan Manuel Sánchez-Pérez, Marco Tomassini: Placing and Routing Circuits on FPGAs by Means of Parallel and Distributed Genetic Programming. ICES 2001: 204-215

Julian F. Miller, Marco Tomassini, Pier Luca Lanzi, Conor Ryan, Andrea Tettamanzi, William B. Langdon (Eds.): Genetic Programming, 4th European Conference, EuroGP 2001, Lake Como, Italy, April 18-20, 2001, Proceedings. Lecture Notes in Computer Science 2038, Springer 2001, isbn 3-540-41899-7

Bastien Chopard, Olivier V. Pictet, Marco Tomassini: Parallel and distributed evolutionary computation for financial applications. Parallel Algorithms Appl. 15(1-2): 15-36 (2000)

Marco Tomassini, Moshe Sipper, Mathieu Perrenoud: On the Generation of High-Quality Random Numbers by Two-Dimensional Cellular Automata. IEEE Trans. Computers 49(10): 1146-1151 (2000)

Marco Tomassini, Leonardo Vanneschi, Laurent Bucher, Francisco Fernández: An MPI-Based Tool for Distributed Genetic Programming. CLUSTER 2000: 209-216

Paul Albuquerque, Bastien Chopard, Christian Mazza, Marco Tomassini: On the Impact of the Representation on Fitness Landscapes. EuroGP 2000: 1-15

Francisco Fernández de Vega, Marco Tomassini, William F. Punch III, Juan Manuel Sánchez-Pérez: Experimental Study of Multipopulation Parallel Genetic Programming. EuroGP 2000: 283-293

Francisco Fernández, Marco Tomassini, William F. Punch, J. M. Sánchez: Experimental Study of Isolated Multipulation Genetic Programming. GECCO 2000: 536

Marco Tomassini, Mathieu Perrenoud: Stream Cyphers with One- and Two-Dimensional Cellular Automata. PPSN 2000: 722-731

Francisco Fernández de Vega, Marco Tomassini, Leonardo Vanneschi, Laurent Bucher: A Distributed Computing Environment for Genetic Programming Using MPI. PVM/MPI 2000: 322-329

Mathieu S. Capcarrère, Andrea Tettamanzi, Marco Tomassini, Moshe Sipper: A Statistical Study of a Class of Cellular Evolutionary Algorithms. Evolutionary Computation 7(3): 255-274 (1999)

Marco Tomassini, Moshe Sipper, Mosé Zolla, Mathieu Perrenoud: Generating high-quality random numbers in parallel by cellular automata. Future Generation Comp. Syst. 16(2-3): 291-305 (1999)

Moshe Sipper, Marco Tomassini: Computation in Artificially Evolved, Non-Uniform Cellular Automata. Theor. Comput. Sci. 217(1): 81-98 (1999)

Francisco Fernández de Vega, Juan Manuel Sánchez-Pérez, Marco Tomassini, Juan Antonio Gómez Pulido: A Parallel Genetic Programming Tool Based on PVM. PVM/MPI 1999: 241-248

Mathieu S. Capcarrère, Andrea Tettamanzi, Marco Tomassini, Moshe Sipper: Studying Parallel Evolutionary Algorithms: The Cellular Programming Case. PPSN 1998: 573-582

Moshe Sipper, Eduardo Sanchez, Daniel Mange, Marco Tomassini, Andrés Pérez-Uribe, André Stauffer: A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems. IEEE Trans. Evolutionary Computation 1(1): 83-97 (1997)

Moshe Sipper, Marco Tomassini: Evolvable Cellular Machines. ACRI 1996: 177-186

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. ICES 1996: 35-54

Maxime Goeke, Moshe Sipper, Daniel Mange, André Stauffer, Eduardo Sanchez, Marco Tomassini: Online Autonomous Evolware. ICES 1996: 96-106

Moshe Sipper, Marco Tomassini: Co-evolving Parallel Random Number Generators. PPSN 1996: 950-959

Eduardo Sanchez, Marco Tomassini (Eds.): Towards Evolvable Hardware, The Evolutionary Engineering Approach, Papers from an international workshop, Lausanne, Switzerland, October 2-3, 1995. Lecture Notes in Computer Science 1062, Springer 1996, isbn 3-540-61093-6

Marco Tomassini: Evolutionary Algorithms. Towards Evolvable Hardware 1995: 19-47