Douglas Mota Dias

According to our database, Douglas Mota Dias authored at least 50 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Neural Architecture Search for Bearing Fault Classification.

Edicson Santiago Bonilla Diaz, Enrique Naredo, Nicolas Francisco Mateo Díaz, Douglas Mota Dias, Maria Alejandra Bonilla Diaz, Susan Harnett, Conor Ryan

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Fuzzy Pattern Trees for Classification Problems Using Genetic Programming.

Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Jorge Luís Machado do Amaral, Joseph P. Sullivan, Conor Ryan

Proceedings of the Genetic Programming - 27th European Conference, 2024

2023

A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution.

Krishn Kumar Gupt, Meghana Kshirsagar, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan

CoRR, 2023

Evolving Multi-Output Digital Circuits Using Multi-Genome Grammatical Evolution.

Michael Kwaku Tetteh, Allan de Lima, Jack McEllin, Aidan Murphy, Douglas Mota Dias, Conor Ryan

Algorithms, 2023

On Switching Selection Methods to Increase Parsimony Pressure.

Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Adaptive Case Selection for Symbolic Regression in Grammatical Evolution.

Krishn Kumar Gupt, Meghana Kshirsagar, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Evolving Behavioural Level Sequence Detectors in SystemVerilog Using Grammatical Evolution.

Bilal Majeed, Conor Ryan, Jack McEllin, Ayman Youssef, Douglas Mota Dias, Aidan Murphy, Samuel Carvalho

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming.

Cristiane Salgado Pereira, Douglas Mota Dias, Luis Martí, Marley M. B. R. Vellasco

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Error and Correlation as fitness functions for Scaled Symbolic Regression in Grammatical Evolution.

Aidan Murphy, Allan de Lima, Douglas Mota Dias, Conor Ryan

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Leap Mapping: Improving Grammatical Evolution for Modularity Problems.

Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Performance Upgrade of Sequence Detector Evolution Using Grammatical Evolution and Lexicase Parent Selection Method.

Bilal Majeed, Samuel Carvalho, Douglas Mota Dias, Ayman Youssef, Aidan Murphy, Conor Ryan

Proceedings of the Complex Computational Ecosystems - First International Conference, 2023

2022

Grammatical Evolution of Complex Digital Circuits in SystemVerilog.

Michael Kwaku Tetteh, Douglas Mota Dias, Conor Ryan

SN Comput. Sci., 2022

Human in the Loop Fuzzy Pattern Tree Evolution.

Aidan Murphy, Gráinne Murphy, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan

SN Comput. Sci., 2022

Fuzzy Pattern Tree Evolution Using Grammatical Evolution.

Aidan Murphy, Muhammad Sarmad Ali, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan

SN Comput. Sci., 2022

A Hierarchical Probabilistic Divergent Search Applied to a Binary Classification.

Senthil Murugan, Enrique Naredo, Douglas Mota Dias, Conor Ryan, Flaviano Godínez-Jaimes, James Vincent Patten

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Lexi²: lexicase selection with lexicographic parsimony pressure.

Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Enrique Naredo, Joseph P. Sullivan, Conor Ryan

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

PreDive: preserving diversity in test cases for evolving digital circuits using grammatical evolution.

Krishn Kumar Gupt, Meghana Kshirsagar, Lukas Rosenbauer, Joseph P. Sullivan, Douglas Mota Dias, Conor Ryan

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

pyPolyBuilder: Automated Preparation of Molecular Topologies and Initial Configurations for Molecular Dynamics Simulations of Arbitrary Supramolecules.

Mayk C. Ramos, Patrick K. Quoika, Vitor A. C. Horta, Douglas Mota Dias, Elan G. Costa, Jorge Luís Machado do Amaral, Luigi M. Ribeiro, Klaus R. Liedl, Bruno A. C. Horta

J. Chem. Inf. Model., 2021

Multi-objective Classification and Feature Selection of Covid-19 Proteins Sequences using NSGA-II and MAP-Elites.

Vijay Sambhe, Shanmukha Rajesh, Enrique Naredo, Douglas Mota Dias, Meghana Kshirsagar, Conor Ryan

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

HNAS: Hyper Neural Architecture Search for Image Segmentation.

Yassir Houreh, Mahsa Mahdinejad, Enrique Naredo, Douglas Mota Dias, Conor Ryan

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Using grammatical evolution for modelling energy consumption on a computer numerical control machine.

Samuel Carvalho, Joe Sullivan, Douglas Mota Dias, Enrique Naredo, Conor Ryan

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Evolution of Complex Combinational Logic Circuits Using Grammatical Evolution with SystemVerilog.

Michael Kwaku Tetteh, Douglas Mota Dias, Conor Ryan

Proceedings of the Genetic Programming - 24th European Conference, 2021

Towards Incorporating Human Knowledge in Fuzzy Pattern Tree Evolution.

Aidan Murphy, Gráinne Murphy, Jorge L. M. Amaral, Douglas Mota Dias, Enrique Naredo, Conor Ryan

Proceedings of the Genetic Programming - 24th European Conference, 2021

2020

Quantum-Inspired Genetic Programming Algorithm for the Crude Oil Scheduling of a Real-World Refinery.

Cristiane Salgado Pereira, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, André Vargas Abs da Cruz, Estefane Horn Hollmann

IEEE Syst. J., 2020

Unimodal optimization using a genetic-programming-based method with periodic boundary conditions.

Rogerio C. B. L. Povoa, Adriano S. Koshiyama, Douglas Mota Dias, Patricia L. Souza, Bruno A. C. Horta

Genet. Program. Evolvable Mach., 2020

Behavioural Modelling of Digital Circuits in System Verilog using Grammatical Evolution.

Conor Ryan, Michael Kwaku Tetteh, Douglas Mota Dias

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Grammar-based Fuzzy Pattern Trees for Classification Problems.

Aidan Murphy, Muhammad Sarmad Ali, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

2018

Solving stochastic differential equations through genetic programming and automatic differentiation.

Waldir Jesus de Araujo Lobão, Marco Aurélio Cavalcanti Pacheco, Douglas Mota Dias, Ana Carolina Alves Abreu

Eng. Appl. Artif. Intell., 2018

Crude oil refinery scheduling: addressing a real-world multiobjective problem through genetic programming and dominance-based approaches.

Cristiane Salgado Pereira, Douglas Mota Dias, Marley M. B. R. Vellasco, Francisco Henrique F. Viana, Luis Martí

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-Modal Optimization by Multi-Gene Genetic Programming.

Rogerio C. B. L. Povoa, Adriano S. Koshiyama, Douglas Mota Dias, Patricia L. Souza, Bruno A. C. Horta

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Econometric genetic programming outperforms traditional econometric algorithms for regression tasks.

André Luiz Farias Novaes, Ricardo Tanscheit, Douglas Mota Dias

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Econometric Genetic Programming in Binary Classification: Evolving Logistic Regressions Through Genetic Programming.

André Luiz Farias Novaes, Ricardo Tanscheit, Douglas Mota Dias

Proceedings of the Progress in Artificial Intelligence, 2017

2016

A single-phase active filter with cascaded multilevel inverter modelled as a complementarity problem.

Valentina Sessa, Luís F. C. Monteiro, Douglas Mota Dias

Proceedings of the IECON 2016, 2016

Genetic programming and automatic differentiation algorithms applied to the solution of ordinary and partial differential equations.

Waldir Jesus de Araujo Lobão, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Evolving GPU machine code.

Cleomar Pereira da Silva, Douglas Mota Dias, Cristiana Bentes, Marco Aurélio Cavalcanti Pacheco, Leandro Fontoura Cupertino

J. Mach. Learn. Res., 2015

Use of graphics processing units for automatic synthesis of programs.

Cleomar Pereira da Silva, Douglas Mota Dias, Cristiana Bentes, Marco Aurélio Cavalcanti Pacheco

Comput. Electr. Eng., 2015

2014

Towards a quantum-inspired multi-gene linear genetic programming model.

Guilherme Cesário Strachan, Adriano Soares Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approach.

Eric da Silva Praxedes, Adriano S. Koshiyama, Elita Selmara Abreu, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems.

Guilherme Cesário Strachan, Adriano S. Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Quantum-Inspired Linear Genetic Programming as a Knowledge Management System.

Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco

Comput. J., 2013

Numerical optimization by multi-gene genetic programming.

Adriano Soares Koshiyama, Douglas Mota Dias, André Vargas Abs da Cruz, Marco Aurélio Cavalcanti Pacheco

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

GPF-CLASS: A Genetic Fuzzy model for classification.

Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley M. B. R. Vellasco, Ricardo Tanscheit

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Combining Forecasts: A Genetic Programming Approach.

Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco

Int. J. Nat. Comput. Res., 2012

Describing Quantum-Inspired Linear Genetic Programming from symbolic regression problems.

Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Evolving CUDA PTX programs by quantum inspired linear genetic programming.

Leandro F. Cupertino, Cleomar Pereira da Silva, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, Cristiana Bentes

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Self-assembly quantum dots growth prediction by quantum-inspired linear genetic programming.

Douglas Mota Dias, Mauricio Pamplona Pires, Omar Paranaiba Vilela Neto

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2009

Toward a Quantum-Inspired Linear Genetic Programming model.

Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2007

Refinery Scheduling Optimization using Genetic Algorithms and Cooperative Coevolution.

Leonard M. Sim, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

2006

Automatic Synthesis of Microcontroller Assembly Code Through Linear Genetic Programming.

Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, José F. M. do Amaral

Proceedings of the Genetic Systems Programming: Theory and Experiences, 2006

Genetic Programming of a Microcontrolled Water Bath Plant.

Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, José Franco Machado do Amaral

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006