A Hybrid Immune-Based System for the Protein Folding Problem. - Carolina P. de Almeida; Richard A. Gonçalves; Myriam Regattieri Delgado (EvoCOP, 2007)

A Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions. - Richard A. Gonçalves; Carolina P. de Almeida; Myriam Regattieri Delgado; Elizabeth Ferreira Gouvea Goldbarg; Marco César Goldbarg (ICARIS, 2007)

TA-PFP: A Transgenetic Algorithm to Solve the Protein Folding Problem. - Carolina P. de Almeida; Richard A. Gonçalves; Marco César Goldbarg; Elizabeth Ferreira Gouvea Goldbarg; Myriam Regattieri Delgado (ISDA, 2007)

A Transgenetic Algorithm for the bi-objective traveling purchaser problem. - Carolina P. de Almeida; Richard A. Gonçalves; Myriam Regattieri Delgado; Elizabeth Ferreira Gouvea Goldbarg; Marco César Goldbarg (IEEE Congress on Evolutionary Computation, 2010)

Harmony Search for Multi-objective Optimization. - Lucas M. Pavelski; Carolina P. de Almeida; Richard A. Gonçalves (SBRN, 2012)

An experimental analysis of evolutionary heuristics for the biobjective traveling purchaser problem. - Carolina P. de Almeida; Richard A. Gonçalves; Elizabeth Ferreira Gouvea Goldbarg; Marco César Goldbarg; Myriam Regattieri Delgado (Ann. Oper. Res., 2012)

Improved Cultural Immune Systems to solve the economic load dispatch problems. - Richard A. Gonçalves; Carolina P. de Almeida; Marco César Goldbarg; Elizabeth Ferreira Gouvea Goldbarg; Myriam Regattieri Delgado (IEEE Congress on Evolutionary Computation, 2013)

Transgenética computacional aplicada a problemas de otimização combinatória com múltiplos objetivos. - Carolina Paula de Almeida (2013)

Transgenetic Algorithms for the Multi-objective Quadratic Assignment Problem. - Carolina Paula de Almeida; Richard Aderbal Gonçalves; Elizabeth Ferreira Gouvea Goldbarg; Marco César Goldbarg; Myriam Regattieri Delgado (BRACIS, 2014)

ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution. - Lucas M. Pavelski; Myriam Regattieri Delgado; Carolina P. de Almeida; Richard A. Gonçalves; Sandra M. Venske (BRACIS, 2014)

A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem. - Richard A. Gonçalves; Carolina P. de Almeida; Sandra M. Venske; Josiel Neumann Kuk; Lucas M. Pavelski; Myriam Regattieri Delgado (BRACIS, 2015)

Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D. - Richard A. Gonçalves; Carolina P. de Almeida; Aurora T. R. Pozo (EMO (1), 2015)

MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems. - Richard A. Gonçalves; Josiel Neumann Kuk; Carolina P. de Almeida; Sandra M. Venske (EMO (1), 2015)

Decomposition Based Multiobjective Hyper Heuristic with Differential Evolution. - Richard A. Gonçalves; Josiel Neumann Kuk; Carolina P. de Almeida; Sandra M. Venske (ICCCI (2), 2015)

Adaptive Operator Selection in NSGA-III. - Richard A. Gonçalves; Carolina P. de Almeida; Lucas M. Pavelski; Sandra M. Venske; Josiel Neumann Kuk; Aurora T. R. Pozo (BRACIS, 2016)

HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. - Marcella S. R. Martins; Myriam Regattieri de Biase da Silva Delgado; Roberto Santana 001; Ricardo Lüders; Richard Aderbal Gonçalves; Carolina Paula de Almeida (GECCO, 2016)

Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition. - Lucas M. Pavelski; Myriam Regattieri Delgado; Carolina P. de Almeida; Richard A. Gonçalves; Sandra M. Venske (Neurocomputing, 2016)

Evolução Diferencial com ensemble de Operadores de Mutação em GPGPUs para o Despacho Econômico de Energia Elétrica. - Gustavo H. Czaikoski; Paulo R. Urio; Richard A. Gonçalves; Carolina P. de Almeida; Josiel Neumann Kuk; Sandra M. Venske (RITA, 2016)

A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization. - Richard Aderbal Gonçalves; Carolina Paula de Almeida; Sandra Mara Guse Scós Venske; Myriam Regattieri de Biase da Silva Delgado; Aurora Trinidad Ramirez Pozo (BRACIS, 2017)

Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. - Marcella Scoczynski Ribeiro Martins; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Richard A. Gonçalves; Carolina P. de Almeida (BRACIS, 2017)

A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique. - Lucas Prestes; Myriam Regattieri de Biase da Silva Delgado; Richard Aderbal Gonçalves; Carolina Paula de Almeida; Aurora Trinidad Ramirez Pozo (BRACIS, 2017)

Adaptive Operator Selection for Many-Objective Optimization with NSGA-III. - Richard A. Gonçalves; Lucas M. Pavelski; Carolina P. de Almeida; Josiel Neumann Kuk; Sandra M. Venske; Myriam Regattieri Delgado (EMO, 2017)

Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem. - Carolina P. de Almeida; Richard A. Gonçalves; Sandra M. Venske; Ricardo Lüders; Myriam Regattieri Delgado (BRACIS, 2018)

A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark. - Josiel Neumann Kuk; Richard A. Gonçalves; Carolina Paula de Almeida; Sandra M. Venske; Aurora T. R. Pozo (BRACIS, 2018)

A New Hyper-Heuristic Based on a Contextual Multi-Armed Bandit for Many-Objective Optimization. - Richard A. Gonçalves; Carolina Paula de Almeida; Ricardo Lüders; Myriam Regattieri Delgado (CEC, 2018)

Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection. - Lucas Prestes; Myriam Regattieri Delgado; Ricardo Lüders; Richard A. Gonçalves; Carolina P. de Almeida (CEC, 2018)

Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm. - Marcella S. R. Martins; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Richard A. Gonçalves; Carolina P. de Almeida (Appl. Soft Comput., 2018)

Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem. - Marcella S. R. Martins; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Richard A. Gonçalves; Carolina P. de Almeida (J. Heuristics, 2018)

Multi-objective Quadratic Assignment Problem: An Approach Using a Hyper-Heuristic Based on the Choice Function. - Bianca N. K. Senzaki; Sandra M. Venske; Carolina P. de Almeida (BRACIS, 2020)

Hyper-heuristics using multi-armed bandit models for multi-objective optimization. - Carolina P. de Almeida; Richard A. Gonçalves; Sandra M. Venske; Ricardo Lüders; Myriam Regattieri Delgado (Appl. Soft Comput., 2020)

Hyper-Heuristic Based NSGA-III for the Many-Objective Quadratic Assignment Problem. - Bianca N. K. Senzaki; Sandra M. Venske; Carolina P. de Almeida (BRACIS (1), 2021)

Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization. - Sandra M. Venske; Carolina P. de Almeida; Myriam Regattieri Delgado (CEC, 2021)

An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem. - Josiel Neumann Kuk; Richard Aderbal Gonçalves; Lucas Marcondes Pavelski; Sandra Mara Guse Scós Venske; Carolina Paula de Almeida; Aurora Trinidad Ramirez Pozo (Expert Syst. Appl., 2021)

Selection hyper-heuristics for the multi and many-objective quadratic assignment problem. - Sandra M. Venske; Carolina P. de Almeida; Ricardo Lüders; Myriam Regattieri Delgado (Comput. Oper. Res., 2022)

Metaheuristics and machine learning: an approach with reinforcement learning assisting neural architecture search. - Sandra Mara Guse Scós Venske; Carolina Paula de Almeida; Myriam Regattieri Delgado (J. Heuristics, 2024)