Competitive coevolutionary algorithm for robust multi-objective optimization: The worst case minimization. - Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães; António Gaspar-Cunha (CEC, 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 (IJCNN, 2016)

Evolutionary method for weight vector generation in Multi-Objective Evolutionary Algorithms based on decomposition and aggregation. - Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães (CEC, 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)

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 (CEC, 2018)

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)

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)

Local Neighborhood-Based Adaptation of Weights in Multi-Objective Evolutionary Algorithms Based on Decomposition. - Paulo Pinheiro Junqueira; Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães (CEC, 2021)

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)

Assessment of Robust Multi-objective Evolutionary Algorithms on Robust and Noisy Environments. - Mateus Clemente de Sousa; Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães (BRACIS (3), 2023)

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)