Association of the anti-tuberculosis drug rifampicin with a PAMAM dendrimer RG Bellini, AP Guimarães, MAC Pacheco, DM Dias, VR Furtado, ... Journal of Molecular Graphics and Modelling 60, 34-42, 2015 | 93 | 2015 |
Evolving CUDA PTX programs by quantum inspired linear genetic programming LF Cupertino, CP Silva, DM Dias, MAC Pacheco, C Bentes Proceedings of the 13th annual conference companion on Genetic and …, 2011 | 21 | 2011 |
Refinery scheduling optimization using genetic algorithms and cooperative coevolution LM Simao, DM Dias 2007 IEEE Symposium on Computational Intelligence in Scheduling, 151-158, 2007 | 18 | 2007 |
Quantum-inspired linear genetic programming as a knowledge management system DM Dias, MAC Pacheco The Computer Journal 56 (9), 1043-1062, 2013 | 16 | 2013 |
Solving stochastic differential equations through genetic programming and automatic differentiation WJ de Araujo Lobão, MAC Pacheco, DM Dias, ACA Abreu Engineering Applications of Artificial Intelligence 68, 110-120, 2018 | 14 | 2018 |
GPF-class: a genetic fuzzy model for classification AS Koshiyama, T Escovedo, DM Dias, MMBR Vellasco, R Tanscheit 2013 IEEE Congress on Evolutionary Computation, 3275-3282, 2013 | 14 | 2013 |
pyPolyBuilder: automated preparation of molecular topologies and initial configurations for molecular dynamics simulations of arbitrary supramolecules MC Ramos, PK Quoika, VAC Horta, DM Dias, EG Costa, JLM do Amaral, ... Journal of Chemical Information and Modeling 61 (4), 1539-1544, 2021 | 13 | 2021 |
Toward a quantum-inspired linear genetic programming model DM Dias, MAC Pacheco 2009 IEEE Congress on Evolutionary Computation, 1691-1698, 2009 | 12 | 2009 |
Evolution of complex combinational logic circuits using grammatical evolution with systemverilog MK Tetteh, D Mota Dias, C Ryan European Conference on Genetic Programming (Part of EvoStar), 146-161, 2021 | 11 | 2021 |
HNAS: hyper neural architecture search for image segmentation Y Houreh, M Mahdinejad, E Naredo, D Mota Dias, C Ryan University of Limerick, 2021 | 11 | 2021 |
Quantum-inspired genetic programming algorithm for the crude oil scheduling of a real-world refinery CS Pereira, DM Dias, MAC Pacheco, MMBR Vellasco, AVA da Cruz, ... IEEE Systems Journal 14 (3), 3926-3937, 2020 | 11 | 2020 |
GRAPE: grammatical algorithms in Python for evolution A de Lima, S Carvalho, DM Dias, E Naredo, JP Sullivan, C Ryan Signals 3 (3), 642-663, 2022 | 10 | 2022 |
Evolving GPU machine code CP da Silva, DM Dias, C Bentes, MAC Pacheco, LF Cupertino Journal of Machine Learning Research 16, 673--712, 2015 | 9 | 2015 |
Automatic synthesis of microcontroller assembly code through linear genetic programming DM Dias, MAC Pacheco, JFM Amaral Genetic Systems Programming: Theory and Experiences, 193-227, 2006 | 9 | 2006 |
Lexi2 lexicase selection with lexicographic parsimony pressure A de Lima, S Carvalho, DM Dias, E Naredo, JP Sullivan, C Ryan Proceedings of the Genetic and Evolutionary Computation Conference, 929-937, 2022 | 8 | 2022 |
Human in the loop fuzzy pattern tree evolution A Murphy, G Murphy, DM Dias, J Amaral, E Naredo, C Ryan SN Computer Science 3 (2), 163, 2022 | 8 | 2022 |
Grammar-based Fuzzy Pattern Trees for Classification Problems. A Murphy, MS Ali, DM Dias, JLM Amaral, E Naredo, C Ryan IJCCI, 71-80, 2020 | 7 | 2020 |
Behavioural Modelling of Digital Circuits in System Verilog using Grammatical Evolution. C Ryan, MK Tetteh, DM Dias IJCCI, 28-39, 2020 | 6 | 2020 |
Crude oil refinery scheduling: Addressing a real-world multiobjective problem through genetic programming and dominance-based approaches CS Pereira, DM Dias, MMBR Vellasco, FHF Viana, L Martí Proceedings of the genetic and evolutionary computation conference companion …, 2018 | 6 | 2018 |
Diagnóstico de Máquinas para a eliminação da origem de trincas em pré-distribuidores: a otimização da UHE Capivara F Kurihara, H Poll, D Dias, H Gissoni XIX SNPTEE, Rio de Janeiro, Brazil, 2007 | 6 | 2007 |