Marco A. F. Mollinetti
Orcid: 0000-0002-5948-691X
According to our database1,
Marco A. F. Mollinetti
authored at least 19 papers
between 2013 and 2023.
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Bibliography
2023
Dynamic Interconnection Approach With BLX-Based Search Applied to Multi-Swarm Optimizer: An Empirical Analysis to Real Constrained Optimization.
IEEE Access, 2023
2022
Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
An Augmented Lagrangian Artificial Bee Colony with Deterministic Variable Selection for Constrained Optimization.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021
Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A-DVM: A Self-Adaptive Variable Matrix Decision Variable Selection Scheme for Multimodal Problems.
Entropy, 2020
Game Theory and Social Interaction for Selection and Crossover Pressure Control in Genetic Algorithms: An Empirical Analysis to Real-Valued Constrained Optimization.
IEEE Access, 2020
2019
Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration.
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
CEMCO: A Novel Competitive Evolutionary Multi-Colony Optimization Algorithm for Constrained Problems.
Proceedings of the 14th International Conference on Natural Computation, 2018
Evolutionary Quick Artificial Bee Colony for Constrained Engineering Design Problems.
Proceedings of the Artificial Intelligence and Soft Computing, 2018
Proceedings of the Hybrid Intelligent Systems, 2018
Parametric Analysis of Iterated Game Environments as Social Interaction Model for Genetic Algorithm to Solve Constrained Engineering Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Proceedings of the 13th International Conference on Natural Computation, 2017
2015
Parallel genetic algorithm with social interaction for solving constrained global optimization problems.
Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015
Analyzing Genetic Algorithm with Game Theory and Adjusted Crossover Approach on Engineering Problems.
Proceedings of the Hybrid Intelligent Systems, 2015
ABC+ES: Combining Artificial Bee Colony Algorithm and Evolution Strategies on Engineering Design Problems and Benchmark Functions.
Proceedings of the Hybrid Intelligent Systems, 2015
2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
A Novel Competitive Quantum-Behaviour Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied to Constrained Engineering Design.
Proceedings of the Swarm Intelligence - 9th International Conference, 2014
2013
Performance analysis of the Imperialist Competitive algorithm using benchmark functions.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013