Mario Tasso Ribeiro Serra Neto

Evolutionary artificial bee colony for neural networks training

Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Rodrigo Lisboa Pereira, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

SIACO: a novel algorithm based on ant colony optimization and game theory for travelling salesman problem

Mario Tasso Ribeiro Serra Neto, Otávio Noura Teixeira, Demison Rolins de Souza Alves, 2018, ICMLSC '18.

Evolutionary Quick Artificial Bee Colony for Constrained Engineering Design Problems

Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Rodrigo Lisboa Pereira, 2018, ICAISC.

Selecting Decision Variables for Artificial Bee Colony using a Self-adaptive Variable Matrix

Takahito Kuno, Mario Tasso Ribeiro Serra Neto, Marco Antonio Florenzano Mollinetti, 2019, Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019).

A-DVM: A Self-Adaptive Variable Matrix Decision Variable Selection Scheme for Multimodal Problems

Takahito Kuno, Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, 2020, Entropy.

Parametric Analysis of Iterated Game Environments as Social Interaction Model for Genetic Algorithm to Solve Constrained Engineering Problems

Edson Koiti Kudo Yasojima, Roberto Célio Limão de Oliveira, Mario Tasso Ribeiro Serra Neto, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration

Vladimiro Miranda, Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, 2019, EPIA.

Deterministic Parameter Selection of Artificial Bee Colony Based on Diagonalization

Takahito Kuno, Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, 2018, HIS.

CEMCO: A Novel Competitive Evolutionary Multi-Colony Optimization Algorithm for Constrained Problems

Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Rodrigo Lisboa Pereira, 2018, 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

Dynamic Interconnection Approach With BLX-Based Search Applied to Multi-Swarm Optimizer: An Empirical Analysis to Real Constrained Optimization

Roberto Célio Limão de Oliveira, Mario Tasso Ribeiro Serra Neto, Rodrigo Lisboa Pereira, 2021, IEEE Access.

Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract)

Inês de Castro Dutra, Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, 2021, AAAI.