| 2026 | EUROGP | NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators. | Davide Farinati, Frederico J. J. B. Santos, Leonardo Vanneschi, Mauro Castelli |
| 2026 | EUROGP | Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness. | Sofia Pereira, Leonardo Vanneschi |
| 2026 | EUROGP | Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression. | Gorka Silva, Lachlan Stewart, Illya Bakurov, Mauro Castelli, Davide Farinati, Jose Manuel Muoz Contreras, Leonardo Trujillio, Leonardo Vanneschi |
| 2026 | GECCO | Exploring Elitism Strategies in Nested Tournament Selection for Multi-Objective Genetic Programming. | Filipa Vieira Goncalves Pereira, Karina Brotto Rebuli, Mario Giacobini, Leonardo Vanneschi |
| 2026 | GECCO | From Six to Two: SLIM-DUO, a Simplified Extension of SLIM-GSGP. | Liah Rosenfeld, Leonardo Vanneschi |
| 2025 | EUROGP | Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP. | Davide Farinati, Gloria Pietropolli, Leonardo Vanneschi |
| 2025 | EUROGP | Introducing Crossover in SLIM-GSGP. | Gloria Pietropolli, Davide Farinati, Luca Manzoni, Mauro Castelli, Sara Silva, Leonardo Vanneschi |
| 2025 | EUROGP | Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods. | Luigi Rovito, Lorenzo Bonin, Davide Farinati, Leonardo Vanneschi, Luca Manzoni, Andrea De Lorenzo, Gloria Pietropolli |
| 2025 | GECCO | An empirical study on the feature selection ability of SLIM-GSGP. | Davide Farinati, Leonardo Vanneschi |
| 2025 | GECCO | Slim_gsgp: A Python Library for Non-Bloating GSGP. | Liah Rosenfeld, Davide Farinati, Diogo Rasteiro, Gloria Pietropolli, Karina Brotto Rebuli, Sara Silva, Leonardo Vanneschi |
| 2024 | CEC | M6GP: Multiobjective Feature Engineering. | Joo Eduardo Batista, Nuno Miguel Rodrigues, Leonardo Vanneschi, Sara Silva |
| 2024 | CEC | Full Inclusive Genetic Programming. | Francesco Marchetti, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi |
| 2024 | EUROGP | SLIM_GSGP: The Non-bloating Geometric Semantic Genetic Programming. | Leonardo Vanneschi |
| 2023 | GECCO | Evolutionary Algorithms for Segment Optimization in Vectorial GP. | Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller |
| 2023 | GECCO | An Investigation of Geometric Semantic GP with Linear Scaling. | Giorgia Nadizar, Fraser Garrow, Berfin Sakallioglu, Lorenzo Canonne, Sara Silva, Leonardo Vanneschi |
| 2023 | GECCO | A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. | Karina Brotto Rebuli, Mario Giacobini, Sara Silva, Leonardo Vanneschi |
| 2022 | CEC | Reducing the Number of Training Cases in Genetic Programming. | Giacomo Zoppi, Leonardo Vanneschi, Mario Giacobini |
| 2022 | EUROGP | SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. | Nuno M. Rodrigues, Joo E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva |
| 2022 | GECCO | Genetic programming for structural similarity design at multiple spatial scales. | Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi |
| 2022 | GECCO | A preliminary study of prediction interval methods with genetic programming. | Karina Brotto Rebuli, Mario Giacobini, Niccol Tallone, Leonardo Vanneschi |
| 2021 | EUROGP | Progressive Insular Cooperative GP. | Karina Brotto Rebuli, Leonardo Vanneschi |
| 2020 | CEC | A GP approach for precision farming. | Francesca Abbona, Leonardo Vanneschi, Marco Bona, Mario Giacobini |
| 2020 | CEC | A Study of Fitness Landscapes for Neuroevolution. | Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi |
| 2020 | EUROGP | Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming. | Irene Azzali, Leonardo Vanneschi, Mario Giacobini |
| 2020 | EUROGP | Is k Nearest Neighbours Regression Better Than GP? | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo |
| 2020 | GECCO | Unlabeled multi-target regression with genetic programming. | Uriel Lpez, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, Pierrick Legrand |
| 2019 | EUROGP | A Vectorial Approach to Genetic Programming. | Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini |
| 2019 | IJCCI | A Regression-like Classification System for Geometric Semantic Genetic Programming. | Illya Bakurov, Mauro Castelli, Francesco Fontanella, Leonardo Vanneschi |
| 2019 | IJCCI | Universal Learning Machine with Genetic Programming. | Alessandro Re, Leonardo Vanneschi, Mauro Castelli |
| 2018 | EUROGP | Pruning Techniques for Mixed Ensembles of Genetic Programming Models. | Mauro Castelli, Ivo Gonalves, Luca Manzoni, Leonardo Vanneschi |
| 2018 | EUROGP | A Multiple Expression Alignment Framework for Genetic Programming. | Leonardo Vanneschi, Kristen M. Scott, Mauro Castelli |
| 2018 | GECCO | Evolving PSO algorithm design in vector fields using geometric semantic GP. | Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi |
| 2018 | GECCO | A multidimensional genetic programming approach for identifying epsistatic gene interactions. | William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore |
| 2018 | PPSN | EDDA-V2 - An Improvement of the Evolutionary Demes Despeciation Algorithm. | Illya Bakurov, Leonardo Vanneschi, Mauro Castelli, Francesco Fontanella |
| 2018 | PPSN | PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming. | Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi |
| 2017 | CEC | Towards the development of a complete GP system on an FPGA using geometric semantic operators. | Carlos A. Goribar Jimnez, Yazmn Maldonado, Leonardo Trujillo, Mauro Castelli, Ivo Gonalves, Leonardo Vanneschi |
| 2017 | CEC | An initialization technique for geometric semantic GP based on demes evolution and despeciation. | Leonardo Vanneschi, Illya Bakurov, Mauro Castelli |
| 2017 | CEC | Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. | Leonardo Vanneschi, Mauro Castelli, Ivo Gonalves, Luca Manzoni, Sara Silva |
| 2017 | CEC | A parallel and distributed semantic Genetic Programming system. | Leonardo Vanneschi, Bernardo Galvo |
| 2017 | GECCO | PSXO: population-wide semantic crossover. | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonalves |
| 2016 | IJCCI | An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. | Mauro Castelli, Luca Manzoni, Ivo Gonalves, Leonardo Vanneschi, Leonardo Trujillo, Sara Silva |
| 2015 | EPIA | Electricity Demand Modelling with Genetic Programming. | Mauro Castelli, Matteo De Felice, Luca Manzoni, Leonardo Vanneschi |
| 2015 | GECCO | Geometric Semantic Genetic Programming with Local Search. | Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand |
| 2014 | EUROGP | A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. | Vijay Ingalalli, Sara Silva, Mauro Castelli, Leonardo Vanneschi |
| 2014 | EUROGP | ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. | Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva |
| 2013 | EPIA | An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. | Mauro Castelli, Davide Castaldi, Ilaria Giordani, Sara Silva, Leonardo Vanneschi, Francesco Archetti, Daniele Maccagnola |
| 2013 | EUROGP | A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva |
| 2013 | GECCO | An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. | Mauro Castelli, Davide Castaldi, Leonardo Vanneschi, Ilaria Giordani, Francesco Archetti, Daniele Maccagnola |
| 2012 | GECCO | Parameter tuning of evolutionary reactions systems. | Mauro Castelli, Luca Manzoni, Leonardo Vanneschi |
| 2012 | GECCO | Genetic programming needs better benchmarks. | James McDermott, David Robert White, Sean Luke, Luca Manzoni, Mauro Castelli, Leonardo Vanneschi, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth A. De Jong, Una-May O'Reilly |
| 2011 | EPIA | A Method to Reuse Old Populations in Genetic Algorithms. | Mauro Castelli, Luca Manzoni, Leonardo Vanneschi |
| 2011 | EUROGP | A Quantitative Study of Learning and Generalization in Genetic Programming. | Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi |
| 2011 | EUROGP | How Far Is It from Here to There? A Distance That Is Coherent with GP Operators. | James McDermott, Una-May O'Reilly, Leonardo Vanneschi, Kalyan Veeramachaneni |
| 2011 | EUROGP | An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming. | Leonardo Trujillo, Sara Silva, Pierrick Legrand, Leonardo Vanneschi |
| 2011 | GECCO | The effect of selection from old populations in genetic algorithms. | Mauro Castelli, Luca Manzoni, Leonardo Vanneschi |
| 2011 | GECCO | The K landscapes: a tunably difficult benchmark for genetic programming. | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni |
| 2010 | CEC | A comparison of the generalization ability of different genetic programming frameworks. | Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi |
| 2010 | GECCO | On the use of genetic programming for the prediction of survival in cancer. | Antonella Farinaccio, Leonardo Vanneschi, Mario Giacobini, Giancarlo Mauri, Paolo Provero |
| 2010 | GECCO | Definition of a crossover based distance for genetic algorithms. | Luca Manzoni, Leonardo Vanneschi, Giancarlo Mauri |
| 2010 | GECCO | Optimization speed and fair sets of functions. | Andrea Valsecchi, Leonardo Vanneschi, Giancarlo Mauri |
| 2010 | GECCO | Fitness landscapes and problem hardness in genetic programming. | Leonardo Vanneschi |
| 2010 | GECCO | An empirical comparison of parallel and distributed particle swarm optimization methods. | Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri |
| 2010 | GECCO | Measuring bloat, overfitting and functional complexity in genetic programming. | Leonardo Vanneschi, Mauro Castelli, Sara Silva |
| 2009 | EPIA | Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming. | Leonardo Vanneschi, Sara Silva |
| 2009 | GECCO | Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. | Sara Silva, Leonardo Vanneschi |
| 2009 | GECCO | Fitness landscapes and problem hardness in genetic programming. | Leonardo Vanneschi |
| 2009 | GECCO | Variable size population for dynamic optimization with genetic programming. | Leonardo Vanneschi, Giuseppe Cuccu |
| 2009 | GECCO | Using crossover based similarity measure to improve genetic programming generalization ability. | Leonardo Vanneschi, Steven M. Gustafson |
| 2009 | GECCO | Limitations of the fitness-proportional negative slope coefficient as a difficulty measure. | Leonardo Vanneschi, Andrea Valsecchi, Riccardo Poli |
| 2009 | ICIP | Empirical modeling for colorimetric characterization of digital cameras. | Simone Bianco, Raimondo Schettini, Leonardo Vanneschi |
| 2009 | IJCCI | A Study of Genetic Programming Variable Population Size for Dynamic Optimization Problems. | Leonardo Vanneschi, Giuseppe Cuccu |
| 2008 | GECCO | The impact of population size on code growth in GP: analysis and empirical validation. | Riccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi |
| 2008 | GECCO | Elitism reduces bloat in genetic programming. | Riccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi |
| 2007 | EUROGP | A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds. | Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sbastien Vrel, Yuri Pirola, Giancarlo Mauri |
| 2007 | GECCO | Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms. | Riccardo Poli, Leonardo Vanneschi |
| 2007 | GECCO | Multi-optimization improves genetic programming generalization ability. | Leonardo Vanneschi, Denis Rochat, Marco Tomassini |
| 2007 | GECCO | Fitness landscapes and problem hardness in evolutionary computation. | Leonardo Vanneschi, Sbastien Vrel |
| 2006 | EUROGP | Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics. | Leonardo Vanneschi, Steven M. Gustafson, Giancarlo Mauri |
| 2006 | EUROGP | Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes. | Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sbastien Vrel |
| 2006 | GECCO | Genetic programming for human oral bioavailability of drugs. | Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi |
| 2006 | GECCO | Heterogeneous cooperative coevolution: strategies of integration between GP and GA. | Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsecchi, Stefano Cagnoni |
| 2006 | GECCO | A quantitative study of neutrality in GP boolean landscapes. | Leonardo Vanneschi, Yuri Pirola, Philippe Collard |
| 2006 | ICCS | Emergent Spatial Patterns in Vegetable Population Dynamics: Towards Pattern Detection and Interpretation. | Stefania Bandini, Sara Manzoni, Stefano Redaelli, Leonardo Vanneschi |
| 2005 | CEC | A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution. | Stefano Cagnoni, Daniel Rivero, Leonardo Vanneschi |
| 2005 | EUROGP | Operator-Based Distance for Genetic Programming: Subtree Crossover Distance. | Steven M. Gustafson, Leonardo Vanneschi |
| 2005 | EUROGP | Dynamic Size Populations in Distributed Genetic Programming. | Denis Rochat, Marco Tomassini, Leonardo Vanneschi |
| 2004 | CEC | A new technique for dynamic size populations in genetic programming. | Marco Tomassini, Leonardo Vanneschi, Jerome Cuendet, Francisco Fernndez |
| 2004 | GECCO | Fitness Clouds and Problem Hardness in Genetic Programming. | Leonardo Vanneschi, Manuel Clergue, Philippe Collard, Marco Tomassini, Sbastien Vrel |
| 2003 | CEC | Saving computational effort in genetic programming by means of plagues. | Francisco Fernndez, Marco Tomassini, Leonardo Vanneschi |
| 2003 | CEC | Diversity analysis in cellular and multipopulation genetic programming. | Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano, Leonardo Vanneschi, Marco Tomassini |
| 2003 | CEC | Fitness distance correlation in genetic programming: a constructive counterexample. | Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue |
| 2003 | EUROGP | Fitness Distance Correlation in Structural Mutation Genetic Programming. | Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue |
| 2003 | EUROGP | The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations. | Francisco Fernndez, Leonardo Vanneschi, Marco Tomassini |
| 2003 | GECCO | Diversity in Multipopulation Genetic Programming. | Marco Tomassini, Leonardo Vanneschi, Francisco Fernndez, Germn Galeano Gil |
| 2003 | GECCO | Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming. | Leonardo Vanneschi, Marco Tomassini, Manuel Clergue, Philippe Collard |
| 2002 | CEC | Studying the influence of synchronous and asynchronous parallel GP on programs length evolution. | Germn Galeano Gil, Francisco Fernndez, Marco Tomassini, Leonardo Vanneschi |
| 2002 | GECCO | Fitness Distance Correlation And Problem Difficulty For Genetic Programming. | Manuel Clergue, Philippe Collard, Marco Tomassini, Leonardo Vanneschi |
| 2002 | GECCO | How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming. | Mario Giacobini, Marco Tomassini, Leonardo Vanneschi |
| 2002 | PPSN | Limiting the Number of Fitness Cases in Genetic Programming Using Statistics. | Mario Giacobini, Marco Tomassini, Leonardo Vanneschi |
| 2002 | PPSN | Experimental Investigation of Three Distributed Genetic Programming Models. | Marco Tomassini, Leonardo Vanneschi, Francisco Fernndez, Germn Galeano Gil |
| 2001 | EUROGP | Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming. | Francisco Fernndez, Marco Tomassini, Leonardo Vanneschi |
| 2000 | CLUSTER | An MPI-Based Tool for Distributed Genetic Programming. | Marco Tomassini, Leonardo Vanneschi, Laurent Bucher, Francisco Fernndez |