| 2026 | GECCO | Optimization of Carpool Service Problem via Transfer Points Genetic-Based Algorithms. | Julien Vincent Baudru, Hugues Bersini, Thomas Sttzle |
| 2024 | VEHITS | Heuristic Optimal Meeting Point Algorithm for Car-Sharing in Large Multimodal Road Networks. | Julien Baudru, Hugues Bersini |
| 2023 | EvoMUSART | Music Generation with Multiple Ant Colonies Interacting on Multilayer Graphs. | Lluc Bono Rossell, Hugues Bersini |
| 2022 | GECCO | Espresso to the rescue of genetic programming facing exponential complexity. | Nicolas Potvin, Hugues Bersini, Dragomir Milojevic |
| 2022 | ICANN | DensEMANN + Sparsification: Experiments for Further Shrinking Already Small Automatically Generated DenseNet. | Antonio Garca Daz, Hugues Bersini |
| 2022 | IJCNN | Time Series Representation for Real-World Applications of Deep Neural Networks. | Guillaume Levasseur, Hugues Bersini |
| 2021 | GECCO | Determining a consistent experimental setup for benchmarking and optimizing databases. | Moiss Silva-Muoz, Gonzalo Calderon, Alberto Franzin, Hugues Bersini |
| 2021 | IJCNN | DensEMANN: Building A DenseNet From Scratch, Layer by Layer and Kernel by Kernel. | Antonio Garca Daz, Hugues Bersini |
| 2020 | IJCNN | Self-Optimisation of Dense Neural Network Architectures: An Incremental Approach. | Antonio Garca Daz, Hugues Bersini |
| 2020 | IJCNN | Forecast of paroxysmal atrial fibrillation using a deep neural network. | Cdric Gilon, Jean-Marie Grgoire, Hugues Bersini |
| 2018 | IJCNN | Accelerating model-based collaborative filtering with item clustering. | Robin Devooght, Hugues Bersini |
| 2016 | PAAMS | An ABM Java Applet to Explore the Free Market Equality/Efficiency Tradeoff. | Hugues Bersini |
| 2014 | ALIFE | In Between Schelling and Maynard-Smith. | Hugues Bersini |
| 2014 | WWW | Random walks based modularity: application to semi-supervised learning. | Robin Devooght, Amin Mantrach, Ilkka Kivimki, Hugues Bersini, Alejandro Jaimes, Marco Saerens |
| 2013 | PAAMS | A Stylized Software Model to Explore the Free Market Equality/Efficiency Tradeoff. | Hugues Bersini, Nicolas van Zeebroeck |
| 2010 | ALIFE | Autocatalyses. | Raphal Plasson, Axel Brandenburg, Ludovic Jullien, Hugues Bersini |
| 2009 | IJCNN | Online organization of chaotic cell assemblies. A model for the cognitive map formation? | Utku Salihoglu, Hugues Bersini, Yoko Yamaguchi, Colin Molter |
| 2008 | ALIFE | The Emergence of Specialization. | Hugues Bersini |
| 2007 | GECCO | A gestalt genetic algorithm: less details for better search. | Christophe Philemotte, Hugues Bersini |
| 2007 | IJCNN | How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain. | Colin Molter, Utku Salihoglu, Hugues Bersini |
| 2006 | CEC | How an optimal observer can smooth a landscape. | Christophe Philemotte, Hugues Bersini |
| 2006 | GECCO | How an optimal observer can collapse the search space. | Christophe Philemotte, Hugues Bersini |
| 2006 | IJCNN | How to prevent spurious data in a chaotic brain. | Colin Molter, Utku Salihoglu, Hugues Bersini |
| 2005 | GECCO | Intrinsic emergence boosts adaptive capacity. | Christophe Philemotte, Hugues Bersini |
| 2005 | IJCNN | Learning cycles brings chaos in Hopfield networks. | Colin Molter, Utku Salihoglu, Hugues Bersini |
| 2005 | IJCNN | Introduction of a Hebbian unsupervised learning algorithm to boost the encoding capacity of Hopfield networks. | Colin Molter, Utku Salihoglu, Hugues Bersini |
| 2004 | IJCNN | How chaos boosts the encoding capacity of small recurrent neural networks : learning consideration. | Colin Molter, Utku Salihoglu, Hugues Bersini |
| 2003 | IJCNN | Fascinating rhythms by chaotic Hopfield networks. | Colin Molter, Hugues Bersini |
| 2002 | CEC | And the winner is...Not the fittest [coevolution]. | Hugues Bersini |
| 2001 | ISMB | Separation of samples into their constituents using gene expression data. | David Venet, F. Pecasse, C. Maenhaut, Hugues Bersini |
| 2000 | GECCO | Chemical Crossover. | Hugues Bersini |
| 2000 | GECCO | A new GA-Local Search Hybrid for Continuous Optimization Based on Multi-Level Single Linkage Clustering. | Gregory Seront, Hugues Bersini |
| 1999 | ICML | Local Learning for Iterated Time-Series Prediction. | Gianluca Bontempi, Mauro Birattari, Hugues Bersini |
| 1998 | ESANN | Lazy learning for control design. | Gianluca Bontempi, Mauro Birattari, Hugues Bersini |
| 1997 | ICANN | Global Least-Squares vs. EM Training for the Gaussian Mixture of Experts. | N. P. Bradshaw, Antoine Duchteau, Hugues Bersini |
| 1997 | ICANN | Economical Reinforcement Learning for Non Stationary Problems. | Nathalie Chatenet, Hugues Bersini |
| 1996 | ICEC | Results of the First International Contest on Evolutionary Optimisation (1st ICEO). | Hugues Bersini, Marco Dorigo, Stefan Langerman, Gregory Seront, Luca Maria Gambardella |
| 1996 | ICEC | Simplex GA and Hybrid Methods. | Gregory Seront, Hugues Bersini |
| 1994 | ICEC | Hybridizing Genetic Algorithms with Hill-Climbing Methods for Global Optimization: Two Possible Ways. | Hugues Bersini, Jean-Michel Renders |
| 1994 | ICEC | S.T.E.P.: The Easiest Way to Optimize a Function. | Stefan Langerman, Gregory Seront, Hugues Bersini |
| 1993 | ICML | Adaptive NeuroControl: How Black Box and Simple can it be. | Jean-Michel Renders, Hugues Bersini, Marco Saerens |
| 1992 | PPSN | In Search of a Good Evolution-Optimization Crossover. | Hugues Bersini, Gregory Seront |
| 1990 | ECAI | One Step in the Counter-Representationalist Direction. | Hugues Bersini |
| 1990 | PPSN | Hints for Adaptive Problem Solving Gleaned from Immune Networks. | Hugues Bersini, Francisco J. Varela |