Eduardo G. Carrano
Eduardo G. Carrano
Professor do Departamento de Engenharia Elétrica, Universidade Federal de Minas Gerais (UFMG)
E-mail confirmado em ufmg.br - Página inicial
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Electric distribution network multiobjective design using a problem-specific genetic algorithm
EG Carrano, LAE Soares, RHC Takahashi, RR Saldanha, OM Neto
IEEE transactions on power delivery 21 (2), 995-1005, 2006
2642006
Electric distribution network expansion under load-evolution uncertainty using an immune system inspired algorithm
EG Carrano, FG Guimarães, RHC Takahashi, OM Neto, F Campelo
IEEE Transactions on Power Systems 22 (2), 851-861, 2007
1412007
A hybrid multiobjective evolutionary approach for improving the performance of wireless sensor networks
FVC Martins, EG Carrano, EF Wanner, RHC Takahashi, GR Mateus
IEEE Sensors Journal 11 (3), 545-554, 2010
1212010
Optimal substation location and energy distribution network design using a hybrid GA-BFGS algorithm
EG Carrano, RHC Takahashi, EP Cardoso, RR Saldanha, OM Neto
IEE Proceedings-Generation, Transmission and Distribution 152 (6), 919-926, 2005
582005
A multicriteria statistical based comparison methodology for evaluating evolutionary algorithms
EG Carrano, EF Wanner, RHC Takahashi
IEEE Transactions on Evolutionary Computation 15 (6), 848-870, 2011
522011
Power distribution network expansion scheduling using dynamic programming genetic algorithm
EG Carrano, RTN Cardoso, RHC Takahashi, CM Fonseca, OM Neto
IET Generation, Transmission & Distribution 2 (3), 444-455, 2008
492008
A dynamic multiobjective hybrid approach for designing wireless sensor networks
FVC Martins, EG Carrano, EF Wanner, RHC Takahashi, GR Mateus
2009 IEEE congress on evolutionary computation, 1145-1152, 2009
352009
Robust coordination of directional overcurrent relays using a matheuristic algorithm
MH Costa, RR Saldanha, MG Ravetti, EG Carrano
IET Generation, Transmission & Distribution 11 (2), 464-474, 2017
332017
Nonlinear network optimization—an embedding vector space approach
EG Carrano, RHC Takahashi, CM Fonseca, OM Neto
IEEE Transactions on Evolutionary Computation 14 (2), 206-226, 2009
332009
A preliminary comparison of tree encoding schemes for evolutionary algorithms
EG Carrano, CM Fonseca, RHC Takahashi, LCA Pimenta, OM Neto
2007 IEEE International Conference on Systems, Man and Cybernetics, 1969-1974, 2007
312007
Late acceptance hill-climbing for high school timetabling
GHG Fonseca, HG Santos, EG Carrano
Journal of Scheduling 19 (4), 453-465, 2016
302016
Integrating matheuristics and metaheuristics for timetabling
GHG Fonseca, HG Santos, EG Carrano
Computers & Operations Research 74, 108-117, 2016
292016
Subpermutation-based evolutionary multiobjective algorithm for load restoration in power distribution networks
EG Carrano, GP da Silva, EP Cardoso, RHC Takahashi
IEEE Transactions on evolutionary computation 20 (4), 546-562, 2015
292015
Integer programming techniques for educational timetabling
GHG Fonseca, HG Santos, EG Carrano, TJR Stidsen
European Journal of Operational Research 262 (1), 28-39, 2017
262017
Multiobjective planning of power distribution networks with facility location for distributed generation
CG Tarôco, RHC Takahashi, EG Carrano
Electric Power Systems Research 141, 562-571, 2016
242016
Using an enhanced integer NSGA-II for solving the multiobjective generalized assignment problem
RF Subtil, EG Carrano, MJF Souza, RHC Takahashi
IEEE congress on evolutionary computation, 1-7, 2010
232010
A genetic algorithm for multiobjective training of ANFIS fuzzy networks
EG Carrano, RHC Takahashi, WM Caminhas, OM Neto
2008 IEEE congress on evolutionary computation (IEEE world congress on …, 2008
232008
An automated investing method for stock market based on multiobjective genetic programming
A Pimenta, CAL Nametala, FG Guimarães, EG Carrano
Computational Economics 52 (1), 125-144, 2018
212018
Algoritmos evolucionários eficientes para otimizaçao de redes
EG Carrano
Universidade Federal de Minas Gerais, 2007
212007
A niching genetic programming-based multi-objective algorithm for hybrid data classification
M de Arruda Pereira, CAD Júnior, EG Carrano, JA De Vasconcelos
Neurocomputing 133, 342-357, 2014
202014
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