| An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the environmental/economic load dispatch problem JN Kuk, RA Gonçalves, LM Pavelski, SMGS Venske, CP De Almeida, ... Expert Systems with Applications 165, 113774, 2021 | 45 | 2021 |
| Extreme learning surrogate models in multi-objective optimization based on decomposition LM Pavelski, MR Delgado, CP Almeida, RA Gonçalves, SM Venske Neurocomputing 180, 55-67, 2016 | 30 | 2016 |
| ELMOEA/D-DE: Extreme learning surrogate models in multi-objective optimization based on decomposition and differential evolution LM Pavelski, MR Delgado, CP De Almeida, RA Gonçalves, SM Venske 2014 Brazilian conference on intelligent systems, 318-323, 2014 | 21 | 2014 |
| Harmony search for multi-objective optimization LM Pavelski, CP Almeida, RA Goncalves 2012 Brazilian symposium on neural networks, 220-225, 2012 | 19 | 2012 |
| Meta-learning for optimization: A case study on the flowshop problem using decision trees L Pavelski, M Delgado, ME Kessaci 2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018 | 13 | 2018 |
| Meta-learning on flowshop using fitness landscape analysis LM Pavelski, MR Delgado, MÉ Kessaci Proceedings of the Genetic and Evolutionary Computation Conference, 925-933, 2019 | 11 | 2019 |
| Adaptive operator selection for many-objective optimization with NSGA-III RA Gonçalves, LM Pavelski, CP de Almeida, JN Kuk, SM Venske, ... International conference on evolutionary multi-criterion optimization, 267-281, 2017 | 10 | 2017 |
| Recommending meta-heuristics and configurations for the flowshop problem via meta-learning: analysis and design LM Pavelski, MÉ Kessaci, MR Delgado 2018 7th Brazilian conference on intelligent systems (BRACIS), 163-168, 2018 | 5 | 2018 |
| Adaptive Operator Selection in NSGA-III RA Gonçalves, CP Almeida, LM Pavelski, SM Venske, JN Kuk, AT Pozo 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 181-186, 2016 | 4 | 2016 |
| Stochastic local search and parameters recommendation: a case study on flowshop problems LM Pavelski, M Delgado, MÉ Kessaci, AA Freitas International Transactions in Operational Research 30 (2), 774-799, 2023 | 3 | 2023 |
| Local Optima Network Sampling for Permutation Flowshop LM Pavelski, MÉ Kessaci, M Delgado 2021 IEEE Congress on Evolutionary Computation (CEC), 1131-1138, 2021 | 3 | 2021 |
| A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem RA Gonçalves, CP Almeida, SM Venske, JN Kuk, LM Pavelski, ... 2015 Brazilian Conference on Intelligent Systems (BRACIS), 7-12, 2015 | 3 | 2015 |
| CP d. Almeida, RA GonÃğalves, and SM Venske. Elmoea/d-de: Extreme learning surrogate models in multi-objective optimization based on decomposition and diferential evolution LM Pavelski, MR Delgado 2014 Brazilian Conference on Intelligent Systems, pages 318ś323, 2014 | 2 | 2014 |
| An evolutionary search algorithm for efficient ResNet-based architectures: a case study on gender recognition ARF Da Silva, LM Pavelski, LAQC Júnior, PHDO Gomes, LM Azevedo, ... 2022 IEEE Congress on Evolutionary Computation (CEC), 1-10, 2022 | 1 | 2022 |
| Seleção adaptativa de operadores aplicada ao problema do despacho econômico de energia elétrica RA Gonçalves, CP de Almeida, SMGS Venske, JN Kuk, LM Pavelski Anais do XLIII Seminário Integrado de Software e Hardware, 1807-1818, 2016 | 1 | 2016 |
| Hidden Design Principles in Zero-Cost Performance Predictors for Neural Architecture Search ARF da Silva, LM Pavelski, LAQC Júnior 2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023 | | 2023 |
| A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration LM Pavelski, MR Delgado, MÉ Kessaci Brazilian Conference on Intelligent Systems, 325-339, 2022 | | 2022 |
| A real-world case study for automated ticket team assignment using natural language processing and explainable models LM Pavelski, RS Braga Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | | 2022 |
| An experience report on how remote device access tools helped mobile developers during the COVID-19 pandemic HM Rabelo, LM Pavelski, EFC Da Cruz, FE Fernandes Junior Proceedings of the International Conference on Software and System Processes …, 2022 | | 2022 |
| Per-instance algorithm configuration: from meta-learning to multi-objective decomposition LM Pavelski Universidade Tecnológica Federal do Paraná, 2021 | | 2021 |
Myriam DelgadoFederal University of Technology of ParanáVerified email at utfpr.edu.br
