An Immune-based Algorithm for Topology Optimization. - Felipe Campelo; Frederico G. Guimarães; Hajime Igarashi; Kota Watanabe; Jaime Arturo Ramírez (IEEE Congress on Evolutionary Computation, 2006)

Local Learning and Search in Memetic Algorithms. - Frederico G. Guimarães; Elizabeth F. Wanner; Felipe Campelo; Ricardo H. C. Takahashi; Hajime Igarashi; David A. Lowther; Jaime A. Ramírez (IEEE Congress on Evolutionary Computation, 2006)

Overview of Artificial Immune Systems for Multi-objective Optimization. - Felipe Campelo; Frederico G. Guimarães; Hajime Igarashi (EMO, 2007)

Design of mixed H2/Hinfinity control systems using algorithms inspired by the immune system. - Frederico G. Guimarães; Reinaldo M. Palhares; Felipe Campelo; Hajime Igarashi (Inf. Sci., 2007)

A new self-adaptive approach for evolutionary multiobjective optimization. - Lucas S. Batista; Felipe Campelo; Frederico G. Guimarães; Jaime A. Ramírez (IEEE Congress on Evolutionary Computation, 2010)

A comparison of dominance criteria in many-objective optimization problems. - Lucas S. Batista; Felipe Campelo; Frederico G. Guimarães; Jaime A. Ramírez (IEEE Congress on Evolutionary Computation, 2011)

Pareto Cone ε-Dominance: Improving Convergence and Diversity in Multiobjective Evolutionary Algorithms. - Lucas S. Batista; Felipe Campelo; Frederico G. Guimarães; Jaime A. Ramírez (EMO, 2011)

A Multi-agent Approach to the Adaptation of Migration Topology in Island Model Evolutionary Algorithms. - Rodolfo Ayala Lopes; Rodrigo César Pedrosa Silva; Felipe Campelo; Frederico G. Guimarães (SBRN, 2012)

Genetic Algorithms Applied to Reverse Distribution Networks. - A. R. R. Freitas; V. M. R. Silva; Frederico G. Guimarães; Felipe Campelo (SOCO, 2012)

Influence of relaxed dominance criteria in multiobjective evolutionary algorithms. - Fillipe Goulart; Lucas S. Batista; Felipe Campelo (GECCO (Companion), 2013)

Dynamic selection of migration flows in island model differential evolution. - Rodolfo Ayala Lopes; Rodrigo César Pedrosa Silva; Felipe Campelo; Frederico G. Guimarães (GECCO (Companion), 2013)

A statistical study of discrete differential evolution approaches for the capacitated vehicle routing problem. - Andre Luis Silva; Jaime Arturo Ramírez; Felipe Campelo (GECCO (Companion), 2013)

Multiobjective vehicle routing problem with fixed delivery and optional collections. - Luciana Pereira de Assis; André L. Maravilha; Alessandro Vivas; Felipe Campelo; Jaime A. Ramírez (Optim. Lett., 2013)

A study on the configuration of migratory flows in island model differential evolution. - Rodolfo Ayala Lopes; Rodrigo César Pedrosa Silva; Alan R. R. de Freitas; Felipe Campelo; Frederico G. Guimarães (GECCO (Companion), 2014)

Combinatorial optimization with differential evolution: a set-based approach. - André L. Maravilha; Jaime A. Ramírez; Felipe Campelo (GECCO (Companion), 2014)

Optimizing two-level reverse distribution networks with hybrid memetic algorithms. - A. R. R. Freitas; V. M. R. Silva; Felipe Campelo; Frederico G. Guimarães (Optim. Lett., 2014)

A Comparative Study of Algorithms for Solving the Multiobjective Open-Pit Mining Operational Planning Problems. - Rafael Frederico Alexandre; Felipe Campelo; Carlos M. Fonseca; João Antônio de Vasconcelos (EMO (2), 2015)

Experimental Investigation of Recombination Operators for Differential Evolution. - Felipe Campelo; Moisés Botelho (GECCO, 2016)

Evolutionary Multiobjective Optimization of Winglets. - Mateus A. M. Teixeira; Fillipe Goulart; Felipe Campelo (GECCO, 2016)

Preference-guided evolutionary algorithms for many-objective optimization. - Fillipe Goulart; Felipe Campelo (Inf. Sci., 2016)

Multiobjective evolutionary algorithms for operational planning problems in open-pit mining. - Rafael Frederico Alexandre; Felipe Campelo; João A. Vasconcelos (GECCO (Companion), 2017)

Robust multiobjective optimization using regression models and linear subproblems. - Fillipe Goulart; Sílvio T. Borges; Fernanda C. Takahashi; Felipe Campelo (GECCO, 2017)

The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition. - Felipe Campelo; Lucas S. Batista; Claus Aranha (CoRR, 2018)

Tuning metaheuristics by sequential optimization of regression models. - Athila R. Trindade; Felipe Campelo (CoRR, 2018)

Classification of EEG Signals Based on Image Representation of Statistical Features. - Jodie Ashford; Jordan J. Bird; Felipe Campelo; Diego R. Faria (UKCI, 2019)

Tuning metaheuristics by sequential optimisation of regression models. - Athila R. Trindade; Felipe Campelo (Appl. Soft Comput., 2019)

Sample size estimation for power and accuracy in the experimental comparison of algorithms. - Felipe Campelo; Fernanda C. Takahashi (J. Heuristics, 2019)

MOEA/D with Random Partial Update Strategy. - Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira; Felipe Campelo (CEC, 2020)

The Cone epsilon-Dominance: An Approach for Evolutionary Multiobjective Optimization. - Lucas S. Batista; Felipe Campelo; Frederico G. Guimarães; Jaime A. Ramírez (CoRR, 2020)

Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances. - Felipe Campelo; Elizabeth F. Wanner (J. Heuristics, 2020)

A recombination-based matheuristic for mixed integer programming problems with binary variables. - André L. Maravilha; Eduardo G. Carrano; Felipe Campelo (Int. Trans. Oper. Res., 2020)

Evaluating Clustering Meta-features for Classifier Recommendation. - Luís Paulo F. Garcia; Felipe Campelo; Guilherme Novaes Ramos; Adriano Rivolli; André C. P. L. F. de Carvalho (BRACIS (1), 2021)

Diversity-Driven Selection Operator for Combinatorial Optimization. - Eduardo G. Carrano; Felipe Campelo; Ricardo H. C. Takahashi (EMO, 2021)

Sharks, Zombies and Volleyball: Lessons from the Evolutionary Computation Bestiary. - Felipe Campelo; Claus Aranha (LIFELIKE, 2021)

Organism-specific training improves performance of linear B-cell epitope prediction. - Jodie Ashford; João Reis-Cunha; Igor Lobo; Francisco Pereira Lobo; Felipe Campelo (Bioinform., 2021)

New approach to estimate macro and micronutrients in potato plants based on foliar spectral reflectance. - Reem Abukmeil; Ahmad Al-Mallahi; Felipe Campelo (Comput. Electron. Agric., 2022)

Metaphor-based metaheuristics, a call for action: the elephant in the room. - Claus Aranha; Christian Leonardo Camacho-Villalón; Felipe Campelo; Marco Dorigo; Rubén Ruiz; Marc Sevaux; Kenneth Sörensen; Thomas Stützle (Swarm Intell., 2022)

Estimating the Limits of Organism-Specific Training for Epitope Prediction. - Jodie Ashford; Anikó Ekárt; Felipe Campelo (BIBM, 2023)

Lessons from the Evolutionary Computation Bestiary. - Felipe Campelo; Claus Aranha (Artif. Life, 2023)

Why are some plants taller? Researchers on the unveiling of genetic variation associated with complex quantitative phenotypes. - Giovanni Marques de Castro; Felipe Campelo; Francisco Pereira Lobo (Patterns, 2023)

CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species. - Jorge Augusto Hongo; Giovanni Marques de Castro; Alison Pelri Albuquerque Menezes; Agnello César Rios Picorelli; Thieres Tayroni Martins da Silva; Eddie Luidy Imada; Luigi Marchionni; Luiz-Eduardo Del-Bem; Anderson Vieira Chaves; Gabriel Magno de Freitas Almeida; Felipe Campelo; Francisco Pereira Lobo (Patterns, 2023)

The rise of taxon-specific epitope predictors. - Felipe Campelo; Francisco Pereira Lobo (Briefings Bioinform., 2024)

Phylogeny-aware linear B-cell epitope predictor detects targets associated with immune response to orthopoxviruses. - Felipe Campelo; Ana Laura Grossi de Oliveira; João Reis-Cunha; Vanessa Gomes Fraga; Pedro Henrique Bastos; Jodie Ashford; Anikó Ekárt; Talita Emile Ribeiro Adelino; Marcos Vinicius Ferreira Silva; Felipe Campos de Melo Iani; Augusto César Parreiras de Jesus; Daniella Castanheira Bartholomeu; et al. (Briefings Bioinform., 2024)