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Publications are listed in chronological order, and the horizontal line separates peer-reviewed publications.

2026

  1. Christina Berghegger, Camilo De La Torre, Sylvain Cussat-Blanc, Yuri Lavinas, David Simoncini. Using Monte Carlo Tree Search to Enhance Search Space Exploration in Cartesian Genetic Programming European Conference on Genetic Programming (Part of EvoStar) doi.org/10.1007/978-3-032-23005-8_18

  2. Yuri Lavinas, Nathan Haut, Sylvain Cussat-Blanc, Wolfgang Banzhaf. Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP European Conference on Genetic Programming (Part of EvoStar) 10.1007/978-3-032-23005-8_17

  3. Christina Berghegger, Camilo De La Torre, Giorgia Nadizar, Yuri Lavinas, Hervé Luga, Dennis G Wilson, Sylvain Cussat-Blanc. Analyzing Interpretable Visual Control Policy Search and Synthesis ACM Transactions on Evolutionary Learning and Optimization. https://doi.org/10.1145/3799432

2025

  1. Camilo De La Torre, Sylvain Cussat-Blanc, Hervé Luga, Dennis G Wilson and Yuri Lavinas. On Chromosome Crossover in Multimodal Adaptive Graph Evolution In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO ’25 Companion). https://doi.org/10.1145/3712255.3734323

  2. Camilo De La Torre, Giorgia Nadizar, Yuri Lavinas, Hervé Luga, Dennis Wilson and Sylvain Cussat-Blanc. 2025. Evolution of Inherently Interpretable Visual Control Policies. Proceedings of the Genetic and Evolutionary Computation Conference. https://doi.org/10.1145/3712256.3726332

  3. Camilo De La Torre, Giorgia Nadizar, Yuri Lavinas, Robin Schwob, Camille Franchet, Hervé Luga, Dennis Wilson and Sylvain Cussat-Blanc Evolved and Transparent Pipelines for Biomedical Image Classification. Genetic Programming. EuroGP 2025. https://doi.org/10.1007/978-3-031-89991-1_11

  4. Yuri Lavinas, Camilo De La Torre, Kévin Cortacero, Dennis G. Wilson and Sylvain Cussat-Blanc Interpretable Genetic Programming Models for Real-World Biomedical Images Genetic Programming Theory and Practice XXI. Genetic and Evolutionary Computation. https://doi.org/10.1007/978-981-96-0077-9_15

2024

  1. Yuri Lavinas, Nathaniel Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc. Dynamically Sampling biomedical Images For Genetic Programming, In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO ’24 Companion). https://doi.org/10.1145/3638530.3654202

  2. Yuri Lavinas, Nathaniel Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc. Data sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data, (CEC), https://doi.org/10.1109/CEC60901.2024.10611879

  3. Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc. Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming, Parallel Problem Solving From Nature (PPSN 2024). https://doi.org/10.1007/978-3-031-70055-2_16

  4. Camilo De La Torre, Sylvain Cussat-Blanc, Dennis G Wilson, Yuri Lavinas On Search Trajectory Networks for Graph Genetic Programming. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO ’24 Companion). https://doi.org/10.1145/3638530.3664169

  5. Camilo De La Torre, Yuri Lavinas, Kévin Cortacero, Hervé Luga, Dennis G Wilson, Sylvain Cussat-Blanc, Multi-Modal Adaptive Graph Evolution for Program Synthesis, Parallel Problem Solving From Nature (PPSN 2024). https://doi.org/10.1007/978-3-031-70055-2_19

  6. Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha. Multiobjective Evolutionary Component Effect on Algorithm behavior, Multiobjective Evolutionary Component Effect on Algorithm behavior. ACM Transactions on Evolutionary Learning and Optimization. https://dl.acm.org/doi/10.1145/3612933 Preprint.

2023

  1. Gabriela Ochoa, Arnaud Liefooghe, Yuri Lavinas, Claus Aranha. Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation, Evolutionary Computation in Combinatorial Optimization. EvoCOP 2023. https://doi.org/10.1007/978-3-031-30035-6_14 Preprint.

  2. Paul Mitchel, Gabriela Ochoa, Yuri Lavinas, Romain Chassagne. Local Optima Networks for Seismic History Matching Problems, EvoApplications 2023. https://doi.org/10.1007/978-3-031-30229-9_6 Preprint.

  3. Alexandre Mascarenhas, Yuri Lavinas, Claus Aranha. AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems, In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO ’23 Companion). https://doi.org/10.1145/3583133.3590655 Extended version.

  4. Yuri Lavinas, Kevin Cortacero, Sylvain Cussat-Blanc. Evolving Graphs with Cartesian Genetic Programming with Lexicase Selection, In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO ’23 Companion). https://doi.org/10.1145/3583133.3596402 Preprint.

2022

  1. Yuri Lavinas, Marcelo Ladeira, Claus Aranha. Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition Evolutionary Computation, 2022, Evolutionary Computation, doi: https://doi.org/10.1162/evco_a_00306 Preprint.

  2. Yuri Lavinas, Claus Aranha, Gabriela Ochoa. Search Trajectories Networks of Multiobjective Evolutionary Algorithms, 2022 Conference on the Applications of Evolutionary Computation (Part of EvoStar), doi: https://doi.org/10.1007/978-3-031-02462-7_15 Preprint.

  1. Yuri Lavinas, Marcelo Ladeira, Claus Aranha, Gabriela Ochoa. Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems, 2022 GECCO, doi https://doi.org/10.1145/3512290.3528719 Preprint.

2021

  1. Felipe Vaz, Yuri Lavinas, Claus Aranha, Marcelo Ladeira. Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations, 2021 Evolutionary Multi-Criterion Optimization (EMO), doi: https://doi.org/10.1007/978-3-030-72062-9_44 Preprint.
  1. Yuri Lavinas, Abe Mitsu Teru, Yuta Kobayashi, and Claus Aranha. MOEA/D with Adaptative Number of Weight Vectors*, In Theory and Practice of Natural Computing, pp. 134-146, Cham, 2021. Springer International Publishing, doi: https://doi.org/10.1007/978-3-030-90425-8_7. Preprint.

2020

  1. Yuri Lavinas, C. Aranha, M. Ladeira and F. Campelo, MOEA/D with Random Partial Update Strategy,* 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, 2020, pp. 1-8, doi: https://doi.org/10.1109/CEC48606.2020.9185527. Preprint.
  1. Nicolo Oreste Pinciroli Vago, Yuri Lavinas, Daniele Rodrigues, Felipe Moura, Sergio Cunha, Claus Aranha, and Ricardo da Silva Torres, INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches*, 34th International ECMS Conference on Modeling and Simulation, 2020.06 DOI: https://doi.org/10.7148/2020-0228 Link.
  1. Yuri Lavinas, Claus Aranha, Marcelo Ladeira, Tetsuya Sakurai, “Resource Allocation and Population Size in MOEA/D” Symposium of the Japanese Society of Evolutionary Computation (2020.09).

2019

  1. Yuri Lavinas, Claus Aranha, Tetsuya Sakurai, Using Diversity as a Priority Function for Resource Allocation on MOEA/D*, In Genetic and Evolutionary Computation Conference Companion (GECCO ’19 Companion), https://doi.org/10.1145/3319619.3321948, 2019.7 Preprint.

  2. Yuri Lavinas, Claus Aranha, and Marcelo Ladeira. Improving resource allocation in MOEA/D with decision-space diversity metrics*. In Theory and Practice of Natural Computing, pp. 134–146, Cham, 2019. Springer International Publishing, https://www.doi.org/10.1007/978-3-030-34500-6_9, 2019.12

  1. Yuri Lavinas, Claus Aranha, Marcelo Ladeira, Tetsuya Sakurai, Resource Allocation in MOEA/D: What is important?* Symposium of the Japanese Society of Evolutionary Computation (2019.09).

2018

  1. Yuri Lavinas, Claus Aranha, Tetsuya Sakurai, Marcelo Ladeira, Experimental Analysis of the Tournament Size on Genetic Algorithms*, IEEE International Conference on Systems, Man and Cybernetics, pp.3647-3653, https://doi.org/10.1109/SMC.2018.00617, 2018.10. Preprint.
  1. Yuri Lavinas, Claus Aranha, Tetsuya Sakurai, Resource Allocation by Diversity* Symposium of the Japanese Society of Evolutionary Computation (2018.12)

2017

  1. Yuri Lavinas, Claus Aranha, Marcelo Ladeira, Experimental Analysis of the Tournament Size on Evolutionary Algorithms* Symposium of the Japanese Society of Evolutionary Computation (2017.12)

2016

  1. Yuri Lavinas, Marcelo Ladeira, Claus Aranha, Inducao de Modelo de Risco de Sismos com Tecnicas de Algoritmos Geneticos* - 68th Annual Meeting of the Brazilian Science Society (SBC) (2016.7) (Poster, in Portuguese).

2014

  1. Claus Aranha, Yuri Cossich Lavinas, Marcelo Ladeira and Bogdan Enescu: Is it possible to generate good Earthquake Risk Models using Genetic Algorithms?*, 6th International Conference on Evolutionary Computation Theory and Applications (ECTA), https://doi.org/10.5220/0005072600490058.