Myriam Delgado
Cited by
Cited by
General type-2 fuzzy inference systems: Analysis, design and computational aspects
LA Lucas, TM Centeno, MR Delgado
2007 IEEE International Fuzzy Systems Conference, 1-6, 2007
An artificial immune system for fuzzy-rule induction in data mining
RT Alves, MR Delgado, HS Lopes, AA Freitas
International Conference on Parallel Problem Solving from Nature, 1011-1020, 2004
ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm
SM Venske, RA Gonçalves, MR Delgado
Neurocomputing 127, 65-77, 2014
Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach
MR Delgado, F Von Zuben, F Gomide
Fuzzy sets and systems 141 (1), 89-106, 2004
Hierarchical genetic fuzzy systems
MR Delgado, F Von Zuben, F Gomide
Information Sciences 136 (1-4), 29-52, 2001
Multi-label hierarchical classification of protein functions with artificial immune systems
RT Alves, MR Delgado, AA Freitas
Brazilian Symposium on Bioinformatics, 1-12, 2008
Self-adapting evolutionary parameters: encoding aspects for combinatorial optimization problems
MH Maruo, HS Lopes, MR Delgado
European Conference on Evolutionary Computation in Combinatorial …, 2005
Analysis of public bus transportation of a Brazilian city based on the theory of complex networks using the P-space
AA De Bona, KVO Fonseca, MO Rosa, R Lüders, M Delgado
Mathematical Problems in Engineering 2016, 2016
A neuro-coevolutionary genetic fuzzy system to design soft sensors
MR Delgado, EY Nagai, LVR de Arruda
Soft computing 13 (5), 481-495, 2009
PID control of MIMO process based on rank niching genetic algorithm
LVR Arruda, MCS Swiech, MRB Delgado, F Neves-Jr
Applied Intelligence 29 (3), 290-305, 2008
Land cover classification based on general type-2 fuzzy classifiers
LA Lucas, TM Centeno, MR Delgado
International Journal of Fuzzy Systems 10 (3), 207-216, 2008
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification
C Li, L Ledo, M Delgado, M Cerrada, F Pacheco, D Cabrera, RV Sánchez, ...
Knowledge-based systems 129, 39-60, 2017
A hyperheuristic approach based on low-level heuristics for the travelling thief problem
M El Yafrani, M Martins, M Wagner, B Ahiod, M Delgado, R Lüders
Genetic Programming and Evolvable Machines 19 (1), 121-150, 2018
Knowledge discovery with artificial immune systems for hierarchical multi-label classification of protein functions
RT Alves, MR Delgado, AA Freitas
International Conference on Fuzzy Systems, 1-8, 2010
Grant: Inferring best forwarders from complex networks’ dynamics through a greedy ant colony optimization
ACK Vendramin, A Munaretto, MR Delgado, AC Viana
Computer Networks 56 (3), 997-1015, 2012
HSEDA: a heuristic selection approach based on estimation of distribution algorithm for the travelling thief problem
MSR Martins, M El Yafrani, MRBS Delgado, M Wagner, B Ahiod, R Lüders
Proceedings of the Genetic and Evolutionary Computation Conference, 361-368, 2017
Multi-objective decision making: towards improvement of accuracy, interpretability and design autonomy in hierarchical genetic fuzzy systems
MR Delgado, F Von Zuben, F Gomide
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002
ADEMO/D: An adaptive differential evolution for protein structure prediction problem
SM Venske, RA Gonçalves, EM Benelli, MR Delgado
Expert Systems with Applications 56, 209-226, 2016
Extreme learning surrogate models in multi-objective optimization based on decomposition
LM Pavelski, MR Delgado, CP Almeida, RA Gonçalves, SM Venske
Neurocomputing 180, 55-67, 2016
Projeto automático de sistemas nebulosos: uma abordagem co-evolutiva
MR Delgado
Universidade Estadual de Campinas. São Paulo, 2002
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Articles 1–20