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Hugo Daniel Monzón Maldonado
Hugo Daniel Monzón Maldonado
Approximate Bayesian Inference Team - RIKEN AIP
Verified email at riken.jp
Title
Cited by
Cited by
Year
A dynamic penalty function within MOEA/D for constrained multi-objective optimization problems
HM Maldonado, S Zapotecas-Martínez
2021 IEEE Congress on Evolutionary Computation (CEC), 1470-1477, 2021
152021
Closed state model for understanding the dynamics of MOEAs
H Monzón, H Aguirre, S Verel, A Liefooghe, B Derbel, K Tanaka
Proceedings of the Genetic and Evolutionary Computation Conference, 609-616, 2017
72017
Dimensionality reduction in many-objective problems combining PCA and spectral clustering
C von Lücken, H Monzón, C Brizuela, B Barán
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
52015
Dynamic compartmental models for algorithm analysis and population size estimation
H Monzón, H Aguirre, S Verel, A Liefooghe, B Derbel, K Tanaka
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
22019
Studying MOEAs dynamics and their performance using a three compartmental model
H Monzón, H Aguirre, S Verel, A Liefooghe, B Derbel, K Tanaka
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
22018
Dynamic compartmental models for large multi-objective landscapes and performance estimation
H Monzón, H Aguirre, S Verel, A Liefooghe, B Derbel, K Tanaka
European Conference on Evolutionary Computation in Combinatorial …, 2020
12020
Understanding Population Dynamics in Multi-and Many-Objective Evolutionary Algorithms for High-Resolution Approximations
H Monzón Maldonado, H Aguirre, S Verel, A Liefooghe, B Derbel, ...
Advances in Operations Research 2021, 1-16, 2021
2021
Studying com partmental models interpolation to estimate MOEAs population size
H Monzón, H Aguirre, S Verel, A Liefooghe, B Derbel, K Tanaka
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
2019
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