| 2009 |
|---|
| 53 | EE | Leonardo Vanneschi,
Steven Gustafson,
Alberto Moraglio,
Ivanoe De Falco,
Marc Ebner:
Genetic Programming, 12th European Conference, EuroGP 2009, Tübingen, Germany, April 15-17, 2009, Proceedings
Springer 2009 |
| 52 | EE | Daniela Besozzi,
Paolo Cazzaniga,
Giancarlo Mauri,
Dario Pescini,
Leonardo Vanneschi:
A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems.
EvoBIO 2009: 116-127 |
| 51 | EE | Leonardo Vanneschi,
Sébastien Vérel,
Marco Tomassini,
Philippe Collard:
NK Landscapes Difficulty and Negative Slope Coefficient: How Sampling Influences the Results.
EvoWorkshops 2009: 645-654 |
| 2008 |
|---|
| 50 | | Michael O'Neill,
Leonardo Vanneschi,
Steven Gustafson,
Anna Esparcia-Alcázar,
Ivanoe De Falco,
Antonio Della Cioppa,
Ernesto Tarantino:
Genetic Programming, 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008. Proceedings
Springer 2008 |
| 49 | EE | Stefania Bandini,
Sara Manzoni,
Giancarlo Mauri,
Stefano Redaelli,
Leonardo Vanneschi:
GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA.
ACRI 2008: 409-416 |
| 48 | EE | Simone Bianco,
Francesca Gasparini,
Raimondo Schettini,
Leonardo Vanneschi:
An Evolutionary Framework for Colorimetric Characterization of Scanners.
EvoWorkshops 2008: 245-254 |
| 47 | EE | Stefano Cagnoni,
Leonardo Vanneschi,
Antonia Azzini,
Andrea Tettamanzi:
A Critical Assessment of Some Variants of Particle Swarm Optimization.
EvoWorkshops 2008: 565-574 |
| 46 | EE | Andrea Valsecchi,
Leonardo Vanneschi:
A Study of Some Implications of the No Free Lunch Theorem.
EvoWorkshops 2008: 633-642 |
| 45 | EE | Marco Tomassini,
Leonardo Vanneschi:
Negative Slope Coefficient and the Difficulty of Random 3-SAT Instances.
EvoWorkshops 2008: 643-648 |
| 44 | EE | Riccardo Poli,
Nicholas Freitag McPhee,
Leonardo Vanneschi:
The impact of population size on code growth in GP: analysis and empirical validation.
GECCO 2008: 1275-1282 |
| 43 | EE | Riccardo Poli,
Nicholas Freitag McPhee,
Leonardo Vanneschi:
Elitism reduces bloat in genetic programming.
GECCO 2008: 1343-1344 |
| 42 | EE | Sébastien Vérel,
Philippe Collard,
Marco Tomassini,
Leonardo Vanneschi:
Neutral Fitness Landscape in the Cellular Automata Majority Problem
CoRR abs/0803.4240: (2008) |
| 41 | EE | Stefania Bandini,
Leonardo Vanneschi,
Andrew Wuensche,
Alessandro Bahgat Shehata:
A Neuro-Genetic Framework for Pattern Recognition in Complex Systems.
Fundam. Inform. 87(2): 207-226 (2008) |
| 40 | EE | Steven Gustafson,
Leonardo Vanneschi:
Crossover-Based Tree Distance in Genetic Programming.
IEEE Trans. Evolutionary Computation 12(4): 506-524 (2008) |
| 2007 |
|---|
| 39 | | Marc Ebner,
Michael O'Neill,
Anikó Ekárt,
Leonardo Vanneschi,
Anna Esparcia-Alcázar:
Genetic Programming, 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings
Springer 2007 |
| 38 | EE | 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 |
| 37 | EE | Francesco Archetti,
Stefano Lanzeni,
Enza Messina,
Leonardo Vanneschi:
Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs.
EvoBIO 2007: 11-23 |
| 36 | EE | Riccardo Poli,
Leonardo Vanneschi:
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms.
GECCO 2007: 1335-1342 |
| 35 | EE | Leonardo Vanneschi,
Denis Rochat,
Marco Tomassini:
Multi-optimization improves genetic programming generalization ability.
GECCO 2007: 1759 |
| 34 | EE | Leonardo Vanneschi,
Sébastien Vérel:
Fitness landscapes and problem hardness in evolutionary computation.
GECCO (Companion) 2007: 3690-3733 |
| 33 | EE | 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) |
| 32 | EE | Francesco Archetti,
Stefano Lanzeni,
Enza Messina,
Leonardo Vanneschi:
Genetic programming for computational pharmacokinetics in drug discovery and development.
Genetic Programming and Evolvable Machines 8(4): 413-432 (2007) |
| 31 | EE | 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) |
| 2006 |
|---|
| 30 | EE | Sébastien Vérel,
Philippe Collard,
Marco Tomassini,
Leonardo Vanneschi:
Neutral Fitness Landscape in the Cellular Automata Majority Problem.
ACRI 2006: 258-267 |
| 29 | EE | Stefania Bandini,
Sara Manzoni,
Stefano Redaelli,
Leonardo Vanneschi:
Automatic Detection of Go-Based Patterns in CA Model of Vegetable Populations: Experiments on Geta Pattern Recognition.
ACRI 2006: 427-435 |
| 28 | EE | Leonardo Vanneschi,
Marco Tomassini,
Philippe Collard,
Sébastien Vérel:
Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes.
EuroGP 2006: 178-189 |
| 27 | EE | Leonardo Vanneschi,
Steven Gustafson,
Giancarlo Mauri:
Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics.
EuroGP 2006: 238-249 |
| 26 | EE | Francesco Archetti,
Enza Messina,
Daniele Toscani,
Leonardo Vanneschi:
Classifying and Counting Vehicles in Traffic Control Applications.
EvoWorkshops 2006: 495-499 |
| 25 | EE | Francesco Archetti,
Stefano Lanzeni,
Enza Messina,
Leonardo Vanneschi:
Genetic programming for human oral bioavailability of drugs.
GECCO 2006: 255-262 |
| 24 | EE | Leonardo Vanneschi,
Giancarlo Mauri,
Andrea Valsecchi,
Stefano Cagnoni:
Heterogeneous cooperative coevolution: strategies of integration between GP and GA.
GECCO 2006: 361-368 |
| 23 | EE | Leonardo Vanneschi,
Yuri Pirola,
Philippe Collard:
A quantitative study of neutrality in GP boolean landscapes.
GECCO 2006: 895-902 |
| 22 | EE | Stefania Bandini,
Sara Manzoni,
Stefano Redaelli,
Leonardo Vanneschi:
Emergent Spatial Patterns in Vegetable Population Dynamics: Towards Pattern Detection and Interpretation.
International Conference on Computational Science (3) 2006: 289-296 |
| 2005 |
|---|
| 21 | EE | Leonardo Vanneschi,
Marco Tomassini,
Philippe Collard,
Manuel Clergue:
A Survey of Problem Difficulty in Genetic Programming.
AI*IA 2005: 66-77 |
| 20 | EE | Stefano Cagnoni,
Daniel Rivero,
Leonardo Vanneschi:
A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution.
Congress on Evolutionary Computation 2005: 1156-1163 |
| 19 | EE | Steven M. Gustafson,
Leonardo Vanneschi:
Operator-Based Distance for Genetic Programming: Subtree Crossover Distance.
EuroGP 2005: 178-189 |
| 18 | EE | Denis Rochat,
Marco Tomassini,
Leonardo Vanneschi:
Dynamic Size Populations in Distributed Genetic Programming.
EuroGP 2005: 50-61 |
| 17 | EE | 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) |
| 2004 |
|---|
| 16 | EE | Leonardo Vanneschi,
Manuel Clergue,
Philippe Collard,
Marco Tomassini,
Sébastien Vérel:
Fitness Clouds and Problem Hardness in Genetic Programming.
GECCO (2) 2004: 690-701 |
| 2003 |
|---|
| 15 | EE | Marco Tomassini,
Leonardo Vanneschi,
Francisco Fernández,
Germán Galeano Gil:
A Study of Diversity in Multipopulation Genetic Programming.
Artificial Evolution 2003: 243-255 |
| 14 | EE | 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 |
| 13 | EE | Leonardo Vanneschi,
Marco Tomassini,
Philippe Collard,
Manuel Clergue:
Fitness Distance Correlation in Structural Mutation Genetic Programming.
EuroGP 2003: 455-464 |
| 12 | EE | Leonardo Vanneschi,
Marco Tomassini,
Manuel Clergue,
Philippe Collard:
Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming.
GECCO 2003: 1788-1799 |
| 11 | EE | Marco Tomassini,
Leonardo Vanneschi,
Francisco Fernández de Vega,
Germán Galeano Gil:
Diversity in Multipopulation Genetic Programming.
GECCO 2003: 1812-1813 |
| 10 | EE | 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 |
| 9 | EE | 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 |
| 8 | | 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) |
| 2002 |
|---|
| 7 | | Manuel Clergue,
Philippe Collard,
Marco Tomassini,
Leonardo Vanneschi:
Fitness Distance Correlation And Problem Difficulty For Genetic Programming.
GECCO 2002: 724-732 |
| 6 | | Mario Giacobini,
Marco Tomassini,
Leonardo Vanneschi:
How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming.
GECCO 2002: 889 |
| 5 | EE | Mario Giacobini,
Marco Tomassini,
Leonardo Vanneschi:
Limiting the Number of Fitness Cases in Genetic Programming Using Statistics.
PPSN 2002: 371-380 |
| 4 | EE | Marco Tomassini,
Leonardo Vanneschi,
Francisco Fernández de Vega,
Germán Galeano Gil:
Experimental Investigation of Three Distributed Genetic Programming Models.
PPSN 2002: 641-650 |
| 2001 |
|---|
| 3 | EE | Francisco Fernández de Vega,
Marco Tomassini,
Leonardo Vanneschi:
Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming.
EuroGP 2001: 51-63 |
| 2000 |
|---|
| 2 | EE | Marco Tomassini,
Leonardo Vanneschi,
Laurent Bucher,
Francisco Fernández:
An MPI-Based Tool for Distributed Genetic Programming.
CLUSTER 2000: 209-216 |
| 1 | EE | Francisco Fernández de Vega,
Marco Tomassini,
Leonardo Vanneschi,
Laurent Bucher:
A Distributed Computing Environment for Genetic Programming Using MPI.
PVM/MPI 2000: 322-329 |
