Is it Possible to Generate Good Earthquake Risk Models Using Genetic Algorithms?. - Claus de Castro Aranha; Yuri Cossich Lavinas; Marcelo Ladeira; Bogdan Enescu (IJCCI (ECTA), 2014)

Experimental Analysis of the Tournament Size on Genetic Algorithms. - Yuri Cossich Lavinas; Claus Aranha; Tetsuya Sakurai; Marcelo Ladeira (SMC, 2018)

Using diversity as a priority function for resource allocation on MOEA/D. - Yuri Cossich Lavinas; Claus Aranha; Tetsuya Sakurai (GECCO (Companion), 2019)

Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics. - Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira (TPNC, 2019)

MOEA/D with Random Partial Update Strategy. - Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira; Felipe Campelo (CEC, 2020)

INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches. - Nicolò Oreste Pinciroli Vago; Yuri Cossich Lavinas; Daniele C. Uchoa Maia Rodrigues; Felipe A. Moura; Sergio Augusto Cunha; Claus Aranha; Ricardo da Silva Torres (ECMS, 2020)

Exploring Constraint Handling Techniques in Real-World Problems on MOEA/D with Limited Budget of Evaluations. - Felipe Vaz; Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira (EMO, 2021)

MOEA/D with Adaptative Number of Weight Vectors. - Yuri Cossich Lavinas; Abe Mitsu Teru; Yuta Kobayashi; Claus Aranha (TPNC, 2021)

Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition. - Yuri Cossich Lavinas; Marcelo Ladeira; Claus Aranha (CoRR, 2021)

Search Trajectories Networks of Multiobjective Evolutionary Algorithms. - Yuri Cossich Lavinas; Claus Aranha; Gabriela Ochoa (EvoApplications, 2022)

Component-wise analysis of automatically designed multiobjective algorithms on constrained problems. - Yuri Cossich Lavinas; Marcelo Ladeira; Gabriela Ochoa; Claus Aranha (GECCO, 2022)

Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems. - Yuri Cossich Lavinas; Gabriela Ochoa; Claus Aranha (CoRR, 2022)

Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition. - Yuri Cossich Lavinas; Marcelo Ladeira; Claus Aranha (Evol. Comput., 2022)

Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation. - Gabriela Ochoa; Arnaud Liefooghe; Yuri Cossich Lavinas; Claus Aranha (EvoCOP, 2023)

Local Optima Networks for Assisted Seismic History Matching Problems. - Paul Mitchell; Gabriela Ochoa; Yuri Cossich Lavinas; Romain Louis Chassagne (EvoApplications@EvoStar, 2023)

AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems. - Alexandre Mascarenhas; Yuri Cossich Lavinas; Claus Aranha (GECCO Companion, 2023)

Multiobjective Evolutionary Component Effect on Algorithm Behavior. - Yuri Cossich Lavinas; Marcelo Ladeira; Gabriela Ochoa; Claus Aranha (GECCO Companion, 2024)

Multiobjective Evolutionary Component Effect on Algorithm Behaviour. - Yuri Cossich Lavinas; Marcelo Ladeira; Gabriela Ochoa; Claus Aranha (ACM Trans. Evol. Learn. Optim., 2024)