Ivan Reinaldo Meneghini

According to our database, Ivan Reinaldo Meneghini authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

A clustering-based coevolutionary multi-objective evolutionary algorithm for handling robust and noisy optimization.

Mateus Clemente de Sousa, Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães

Evol. Intell., 2024

2023

Assessment of Robust Multi-objective Evolutionary Algorithms on Robust and Noisy Environments.

Mateus Clemente de Sousa, Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Multi-objective evolutionary algorithm based on decomposition with an external archive and local-neighborhood based adaptation of weights.

Paulo Pinheiro Junqueira, Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães

Swarm Evol. Comput., 2022

2021

Local Neighborhood-Based Adaptation of Weights in Multi-Objective Evolutionary Algorithms Based on Decomposition.

Paulo Pinheiro Junqueira, Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Scalable and customizable benchmark problems for many-objective optimization.

Ivan Reinaldo Meneghini, Marcos Antonio Alves, António Gaspar-Cunha, Frederico Gadelha Guimarães

Appl. Soft Comput., 2020

2019

An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem.

Luciano Perdigão Cota, Frederico G. Guimarães, Roberto G. Ribeiro, Ivan Reinaldo Meneghini, Fernando B. de Oliveira, Marcone J. F. Souza, Patrick Siarry

Swarm Evol. Comput., 2019

2018

Information to the Eye of the Beholder: Data Visualization for Many-Objective Optimization.

Ivan Reinaldo Meneghini, Roozbeh Haghnazar Koochaksaraei, Frederico G. Guimarães, António Gaspar-Cunha

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

A new visualization method in many-objective optimization with chord diagram and angular mapping.

Roozbeh Haghnazar Koochaksaraei, Ivan Reinaldo Meneghini, Vitor Nazário Coelho, Frederico Gadelha Guimarães

Knowl. Based Syst., 2017

Evolutionary method for weight vector generation in Multi-Objective Evolutionary Algorithms based on decomposition and aggregation.

Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

An automatic calibration framework applied on a metaheuristic fuzzy model for the CIF competition.

Vitor Nazário Coelho, Igor Machado Coelho, Ivan Reinaldo Meneghini, Marcone J. F. Souza, Frederico G. Guimarães

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Competitive coevolutionary algorithm for robust multi-objective optimization: The worst case minimization.

Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães, António Gaspar-Cunha

Proceedings of the IEEE Congress on Evolutionary Computation, 2016