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.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

Tensor Fukunaga-Koontz Transform for Hierarchical Clustering.
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

Deterministic Parameter Selection of Artificial Bee Colony Based on Diagonalization.
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
Evolutionary artificial bee colony for neural networks training.
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
ABC+ES: a novel hybrid artificial bee colony algorithm with evolution strategies.
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


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