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2023

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

  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). Association for Computing Machinery, New York, NY, USA, 503–506. 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). Association for Computing Machinery, New York, NY, USA, 1920–1924. https://doi.org/10.1145/3583133.3596402 Preprint.

  5. 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. Just Accepted (August 2023) https://dl.acm.org/doi/10.1145/3612933

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

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), Rome, 2014, https://doi.org/10.5220/0005072600490058.