Performance analysis of the Imperialist Competitive algorithm using benchmark functions. - Marco Antônio Florenzano Mollinetti; Jose Ney Magalhaes Almeida; Rodrigo Lisbôa Pereira; Otávio Noura Teixeira (SoCPaR, 2013)

A Novel Competitive Quantum-Behaviour Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied to Constrained Engineering Design. - Daniel Leal Souza; Otávio Noura Teixeira; Dionne Cavalcante Monteiro; Roberto Célio Limão de Oliveira; Marco Antônio Florenzano Mollinetti (ANTS Conference, 2014)

ABC+ES: a novel hybrid artificial bee colony algorithm with evolution strategies. - Marco A. F. Mollinetti; Daniel Leal Souza; Otávio Noura Teixeira (GECCO (Companion), 2014)

ABC+ES: Combining Artificial Bee Colony Algorithm and Evolution Strategies on Engineering Design Problems and Benchmark Functions. - Marco Antônio Florenzano Mollinetti; Daniel Leal Souza; Rodrigo Lisbôa Pereira; Edson Koiti Kudo Yasojima; Otávio Noura Teixeira (HIS, 2015)

Analyzing Genetic Algorithm with Game Theory and Adjusted Crossover Approach on Engineering Problems. - Edson Koiti Kudo Yasojima; Roberto Célio Limão de Oliveira; Otávio Noura Teixeira; Rodrigo Lisbôa Pereira; Marco A. F. Mollinetti (HIS, 2015)

Parallel genetic algorithm with social interaction for solving constrained global optimization problems. - Rodrigo Lisbôa Pereira; Edson Koiti Kudo Yasojima; Rodrigo M. S. de Oliveira; Marco Antônio Florenzano Mollinetti; Otávio Noura Teixeira; Roberto Célio Limão de Oliveira (SoCPaR, 2015)

Evolutionary artificial bee colony for neural networks training. - Mario Tasso Ribeiro Serra Neto; Marco Antônio Florenzano Mollinetti; Rodrigo Lisbôa Pereira (ICNC-FSKD, 2017)

Parametric Analysis of Iterated Game Environments as Social Interaction Model for Genetic Algorithm to Solve Constrained Engineering Problems. - Rodrigo Lisbôa Pereira; Marco Antônio Florenzano Mollinetti; Mario Tasso Ribeiro Serra Neto; Adilson de Almeida Neto; Daniel Leal Souza; Edson Koiti Kudo Yasojima; Otávio Noura Teixeira; Roberto Célio Limão de Oliveira (CEC, 2018)

Deterministic Parameter Selection of Artificial Bee Colony Based on Diagonalization. - Marco Antônio Florenzano Mollinetti; Mario Tasso Ribeiro Serra Neto; Takahito Kuno (HIS, 2018)

Evolutionary Quick Artificial Bee Colony for Constrained Engineering Design Problems. - Otávio Noura Teixeira; Mario Tasso Ribeiro Serra Neto; Demison Rolins de Souza Alves; Marco Antônio Florenzano Mollinetti; Fabio dos Santos Ferreira; Daniel Leal Souza; Rodrigo Lisbôa Pereira (ICAISC (2), 2018)

CEMCO: A Novel Competitive Evolutionary Multi-Colony Optimization Algorithm for Constrained Problems. - Mario Tasso Ribeiro Serra Neto; Marco Antônio Florenzano Mollinetti; Demison Rolins de Souza Alves; Rodrigo Lisbôa Pereira; Otávio Noura Teixeira (ICNC-FSKD, 2018)

Tensor Fukunaga-Koontz Transform for Hierarchical Clustering. - Bernardo B. Gatto; Marco A. F. Mollinetti; Eulanda Miranda dos Santos; Kazuhiro Fukui (BRACIS, 2019)

Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration. - Mario Tasso Ribeiro Serra Neto; Marco A. F. Mollinetti; Vladimiro Miranda; Leonel M. Carvalho (EPIA (1), 2019)

Game Theory and Social Interaction for Selection and Crossover Pressure Control in Genetic Algorithms: An Empirical Analysis to Real-Valued Constrained Optimization. - Rodrigo Lisbôa Pereira; Daniel Leal Souza; Marco Antônio Florenzano Mollinetti; Mario Tasso Ribeiro Serra Neto; Edson Koiti Kudo Yasojima; Otávio Noura Teixeira; Roberto Célio Limão de Oliveira (IEEE Access, 2020)

A-DVM: A Self-Adaptive Variable Matrix Decision Variable Selection Scheme for Multimodal Problems. - Marco Antônio Florenzano Mollinetti; Bernardo Bentes Gatto; Mario Tasso Ribeiro Serra Neto; Takahito Kuno (Entropy, 2020)

Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract). - Mario Tasso Ribeiro Serra Neto; Marco A. F. Mollinetti; Inês Dutra (AAAI, 2021)

An Augmented Lagrangian Artificial Bee Colony with Deterministic Variable Selection for Constrained Optimization. - Marco Antônio Florenzano Mollinetti; Bernardo Bentes Gatto; Otávio Noura Teixeira (IBICA, 2021)

Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method. - Mario T. R. Serra Neto; Inês Dutra; Marco Antônio Florenzano Mollinetti (IJCNN, 2022)

Dynamic Interconnection Approach With BLX-Based Search Applied to Multi-Swarm Optimizer: An Empirical Analysis to Real Constrained Optimization. - Daniel Leal Souza; Rodrigo Lisbôa Pereira; Mario T. R. Serra Neto; Marco A. F. Mollinetti; Otávio Noura Teixeira; Roberto Célio Limão de Oliveira (IEEE Access, 2023)

A Novel Genetic Algorithm Approach for Discriminative Subspace Optimization. - Bernardo B. Gatto; Marco A. F. Mollinetti; Eulanda M. dos Santos; Alessandro L. Koerich; Waldir Sabino da Silva Júnior (BRACIS (1), 2024)