Yuri Cossich Lavinas

According to our database, Yuri Cossich Lavinas authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multiobjective Evolutionary Component Effect on Algorithm behavior.

Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha

CoRR, 2023

AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems.

Alexandre Mascarenhas, Yuri Cossich Lavinas, Claus Aranha

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Local Optima Networks for Assisted Seismic History Matching Problems.

Paul Mitchell, Gabriela Ochoa, Yuri Cossich Lavinas, Romain Louis Chassagne

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation.

Gabriela Ochoa, Arnaud Liefooghe, Yuri Cossich Lavinas, Claus Aranha

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2023

2022

Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition.

Yuri Cossich Lavinas, Marcelo Ladeira, Claus Aranha

Evol. Comput., 2022

Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems.

Yuri Cossich Lavinas, Gabriela Ochoa, Claus Aranha

CoRR, 2022

Component-wise analysis of automatically designed multiobjective algorithms on constrained problems.

Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Search Trajectories Networks of Multiobjective Evolutionary Algorithms.

Yuri Cossich Lavinas, Claus Aranha, Gabriela Ochoa

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021

Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition.

Yuri Cossich Lavinas, Marcelo Ladeira, Claus Aranha

CoRR, 2021

MOEA/D with Adaptative Number of Weight Vectors.

Yuri Cossich Lavinas, Abe Mitsu Teru, Yuta Kobayashi, Claus Aranha

Proceedings of the Theory and Practice of Natural Computing, 2021

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

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

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

Proceedings of the 34th International ECMS Conference on Modelling and Simulation, 2020

MOEA/D with Random Partial Update Strategy.

Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics.

Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira

Proceedings of the Theory and Practice of Natural Computing - 8th International Conference, 2019

Using diversity as a priority function for resource allocation on MOEA/D.

Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Experimental Analysis of the Tournament Size on Genetic Algorithms.

Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai, Marcelo Ladeira

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2014

Is it Possible to Generate Good Earthquake Risk Models Using Genetic Algorithms?.

Claus de Castro Aranha, Yuri Cossich Lavinas, Marcelo Ladeira, Bogdan Enescu

Proceedings of the ECTA 2014, 2014