A powerful Lichtenberg Optimization Algorithm: A damage identification case study. - João Luiz Junho Pereira; Matheus Brendon Francisco; Sebastiao Simões da Cunha Jr.; Guilherme Ferreira Gomes (Eng. Appl. Artif. Intell., 2021)

Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization. - João Luiz Junho Pereira; Matheus Brendon Francisco; Camila Aparecida Diniz; Guilherme Antônio Oliver; Sebastiao Simões da Cunha Jr.; Guilherme Ferreira Gomes (Expert Syst. Appl., 2021)

Multi-objective lichtenberg algorithm: A hybrid physics-based meta-heuristic for solving engineering problems. - João Luiz Junho Pereira; Guilherme Antônio Oliver; Matheus Brendon Francisco; Sebastiao Simões da Cunha Jr.; Guilherme Ferreira Gomes (Expert Syst. Appl., 2022)

Parameter tuning for wavelet transform-based damage index using mixture design. - Guilherme Antônio Oliver; João Luiz Junho Pereira; Matheus Brendon Francisco; Antonio Carlos Ancelotti Jr.; Guilherme Ferreira Gomes (Eng. Comput., 2022)

Deep multiobjective design optimization of CFRP isogrid tubes using lichtenberg algorithm. - João Luiz Junho Pereira; Matheus Brendon Francisco; Ronny Francis Ribeiro Junior; Sebastiao Simões da Cunha Jr.; Guilherme Ferreira Gomes (Soft Comput., 2022)

Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement. - Benedict Jun Ma; João Luiz Junho Pereira; Diego Oliva; Shuai Liu 002; Yong-Hong Kuo (Knowl. Based Syst., 2023)

Multi-objective sunflower optimization: A new hypercubic meta-heuristic for constrained engineering problems. - João Luiz Junho Pereira; Guilherme Ferreira Gomes (Expert Syst. J. Knowl. Eng., 2023)

A comparison between chaos theory and Lévy flights in sunflower optimization for feature selection. - João Luiz Junho Pereira; Benedict Jun Ma; Matheus Brendon Francisco; Ronny Francis Ribeiro Junior; Guilherme Ferreira Gomes (Expert Syst. J. Knowl. Eng., 2023)

Enhanced Lichtenberg algorithm: a discussion on improving meta-heuristics. - João Luiz Junho Pereira; Matheus Brendon Francisco; Fabricio Alves de Almeida; Benedict Jun Ma; Sebastiao Simões da Cunha Jr.; Guilherme Ferreira Gomes (Soft Comput., 2023)

Explaining instances in the health domain based on the exploration of a dataset's hardness embedding. - Maria Gabriela Valeriano; João Luiz Junho Pereira; Carlos Roberto Veiga Kiffer; Ana Carolina Lorena (GECCO Companion, 2024)

Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation. - João Luiz Junho Pereira; Kate Smith-Miles; Mario Andrés Muñoz; Ana Carolina Lorena (Data Min. Knowl. Discov., 2024)

Optimization and Tradeoff Analysis for Multiple Configurations of Bio-Energy with Carbon Capture and Storage Systems in Brazilian Sugarcane Ethanol Sector. - Bruno Bunya; César A. R. Sotomonte; Alisson Aparecido Vitoriano Julio; João Luiz Junho Pereira; Túlio Augusto Zucareli de Souza; Matheus Brendon Francisco; Christian J. R. Coronado (Entropy, 2024)

Golden lichtenberg algorithm: a fibonacci sequence approach applied to feature selection. - João Luiz Junho Pereira; Matheus Brendon Francisco; Benedict Jun Ma; Guilherme Ferreira Gomes; Ana Carolina Lorena (Neural Comput. Appl., 2024)

Evaluation of machine learning algorithms in the prediction of key therapeutic quantities in magnetic hyperthermia. - Rafael G. Gontijo; Filipe Eduard Leite Ossege; João Luiz Junho Pereira (Comput. Math. Appl., 2025)