| An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem LP Cota, FG Guimarães, RG Ribeiro, IR Meneghini, FB de Oliveira, ... Swarm and Evolutionary Computation 51, 100601, 2019 | 46 | 2019 |
| A new visualization method in many-objective optimization with chord diagram and angular mapping RH Koochaksaraei, IR Meneghini, VN Coelho, FG Guimaraes Knowledge-Based Systems 138, 134-154, 2017 | 38 | 2017 |
| Scalable and customizable benchmark problems for many-objective optimization IR Meneghini, MA Alves, A Gaspar-Cunha, FG Guimaraes Applied Soft Computing 90, 106139, 2020 | 34 | 2020 |
| Competitive coevolutionary algorithm for robust multi-objective optimization: The worst case minimization IR Meneghini, FG Guimaraes, A Gaspar-Cunha 2016 IEEE congress on evolutionary computation (CEC), 586-593, 2016 | 33 | 2016 |
| Preference cone based multi-objective evolutionary algorithm applied to optimal management of distributed energy resources in microgrids WM Ferreira, IR Meneghini, DI Brandao, FG Guimarães Applied energy 274, 115326, 2020 | 23 | 2020 |
| Evolutionary method for weight vector generation in multi-objective evolutionary algorithms based on decomposition and aggregation IR Meneghini, FG Guimarães 2017 IEEE congress on evolutionary computation (CEC), 1900-1907, 2017 | 17 | 2017 |
| Information to the eye of the beholder: Data visualization for many-objective optimization IR Meneghini, RH Koochaksaraei, FG Guimaraes, A Gaspar-Cunha 2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018 | 13 | 2018 |
| Multi-objective evolutionary algorithm based on decomposition with an external archive and local-neighborhood based adaptation of weights PP Junqueira, IR Meneghini, FG Guimarães Swarm and Evolutionary Computation 71, 101079, 2022 | 9 | 2022 |
| Incorporation of region of interest in a decomposition-based multi-objective evolutionary algorithm I Reinaldo Meneghini, F Gadelha Guimarães, A Gaspar-Cunha, ... Advances in Evolutionary and Deterministic Methods for Design, Optimization …, 2021 | 9 | 2021 |
| Machine learning-driven approach for large scale decision making with the analytic hierarchy process MA Alves, IR Meneghini, A Gaspar-Cunha, FG Guimarães Mathematics 11 (3), 627, 2023 | 4 | 2023 |
| Learning pairwise comparisons with machine learning for large-scale multi-criteria decision making problems MA Alves, IR Meneghini, FG Guimaraes Proceedings of the Anais do 15, 2021 | 3 | 2021 |
| An automatic calibration framework applied on a metaheuristic fuzzy model for the CIF competition VN Coelho, IM Coelho, IR Meneghini, MJF Souza, FG Guimarães 2016 International joint conference on neural networks (IJCNN), 1507-1514, 2016 | 3 | 2016 |
| Scalable and customizable benchmark problems for many-objective optimization I Reinaldo Meneghini, MA Alves, A Gaspar-Cunha, F Gadelha Guimarães arXiv e-prints, arXiv: 2001.11591, 2020 | 1 | 2020 |
| Uma proposta de algoritmo baseado em cone de preferência para otimização com muitos objetivos e robusta IR Meneghini Universidade Federal de Minas Gerais, 2018 | 1 | 2018 |
| A Coevolutionary Method for Multi-Objective Robust Optimization IR Meneghini, RCP Silva, M Li, FG Guimarães, D Lowther IGTE Symposium on Numerical Field Calculation in Electrical Engineering, Graz, 2016 | 1 | 2016 |
| Assessment of Robust Multi-objective Evolutionary Algorithms on Robust and Noisy Environments MC de Sousa, IR Meneghini, FG Guimarães Brazilian Conference on Intelligent Systems, 33-48, 2023 | | 2023 |
| Local Neighborhood-Based Adaptation of Weights in Multi-Objective Evolutionary Algorithms Based on Decomposition PP Junqueira, IR Meneghini, FG Guimarães 2021 IEEE Congress on Evolutionary Computation (CEC), 1454-1461, 2021 | | 2021 |
| Swarm and Evolutionary Computation LP Cota, FG Guimarães, RG Ribeiro, IR Meneghini, FB de Oliveira, ... | | |
Frederico Gadelha GuimarãesDepartment of Computer Science, Universidade Federal de Minas GeraisVerified email at ufmg.br
