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Ivan Reinaldo Meneghini
Ivan Reinaldo Meneghini
IFMG campus Ibirité
Verified email at ifmg.edu.br
Title
Cited by
Cited by
Year
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
422019
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
372017
Scalable and customizable benchmark problems for many-objective optimization
IR Meneghini, MA Alves, A Gaspar-Cunha, FG Guimaraes
Applied Soft Computing 90, 106139, 2020
342020
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
332016
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
232020
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
162017
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
122018
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
92021
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
82022
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
32023
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
32021
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
32016
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
12020
Uma proposta de algoritmo baseado em cone de preferência para otimização com muitos objetivos e robusta
IR Meneghini
Universidade Federal de Minas Gerais, 2018
12018
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
12016
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, ...
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Articles 1–18