Danilo Sipoli Sanches
Danilo Sipoli Sanches
Associate Professor of Computer Science, Federal University of Technology of Paraná (UTFPR)
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Cited by
Cited by
Parameters estimation of three-phase induction motors using differential evolution
JJ Guedes, MF Castoldi, A Goedtel, CM Agulhari, DS Sanches
Electric Power Systems Research 154, 204-212, 2018
Multi-objective evolutionary algorithm for single and multiple fault service restoration in large-scale distribution systems
DS Sanches, JBAL Junior, ACB Delbem
Electric Power Systems Research 110, 144-153, 2014
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors
RP Bonidia, DS Domingues, DS Sanches, AC de Carvalho
Briefings in bioinformatics 23 (1), bbab434, 2022
Multiobjective evolutionary algorithm with a discrete differential mutation operator developed for service restoration in distribution systems
DS Sanches, JBA London Jr, ACB Delbem, RS Prado, FG Guimarães, ...
International Journal of Electrical Power & Energy Systems 62, 700-711, 2014
Feature extraction approaches for biological sequences: a comparative study of mathematical features
RP Bonidia, LDH Sampaio, DS Domingues, AR Paschoal, FM Lopes, ...
Briefings in Bioinformatics 22 (5), bbab011, 2021
Differential evolution using ancestor tree for service restoration in power distribution systems
RS Prado, RCP Silva, OM Neto, FG Guimarães, DS Sanches, ...
Applied Soft Computing 23, 498-508, 2014
A hybrid algorithm to tune power oscillation dampers for FACTS devices in power systems
MF Castoldi, DS Sanches, MR Mansour, NG Bretas, RA Ramos
Control engineering practice 24, 25-32, 2014
Improving an exact solver for the traveling salesman problem using partition crossover
D Sanches, D Whitley, R Tinós
Proceedings of the Genetic and Evolutionary Computation Conference, 337-344, 2017
Building a better heuristic for the traveling salesman problem: Combining edge assembly crossover and partition crossover
D Sanches, D Whitley, R Tinós
Proceedings of the Genetic and Evolutionary Computation Conference, 329-336, 2017
Computational intelligence in sports: A systematic literature review
RP Bonidia, LAL Rodrigues, AP Avila-Santos, DS Sanches, JD Brancher
Advances in Human-Computer Interaction 2018, 2018
CRISPRloci: comprehensive and accurate annotation of CRISPR–Cas systems
OS Alkhnbashi, A Mitrofanov, R Bonidia, M Raden, VD Tran, ...
Nucleic Acids Research 49 (W1), W125-W130, 2021
Sequence motif finder using memetic algorithm
JM Caldonazzo Garbelini, AY Kashiwabara, DS Sanches
BMC bioinformatics 19, 1-13, 2018
A novel multi-objective evolutionary algorithm based on subpopulations for the bi-objective traveling salesman problem
DH Moraes, DS Sanches, J da Silva Rocha, JMC Garbelini, MF Castoldi
Soft Computing 23 (15), 6157-6168, 2019
A search method using genetic algorithm for production reactive scheduling of manufacturing systems
O Morandin, ERR Kato, AC Deriz, DS Sanches
2008 IEEE International Symposium on Industrial Electronics, 1843-1848, 2008
An adaptive genetic algorithm based approach for production reactive scheduling of manufacturing systems
O Morandin, DS Sanches, AC Deriz, ERR Kato, RH Tsunaki
2008 34th Annual Conference of IEEE Industrial Electronics, 1461-1466, 2008
An adaptive genetic algorithm for production scheduling on manufacturing systems with simultaneous use of machines and agvs
DS Sanches, J Silva Rocha, MF Castoldi, O Morandin, ERR Kato
Journal of Control, Automation and Electrical Systems 26, 225-234, 2015
Algoritmos evolutivos multi-objetivo para reconfiguração de redes em sistemas de distribuição de energia elétrica
DS Sanches
Universidade de São Paulo, 2013
Multi-objective evolutionary algorithm with node-depth encoding and strength pareto for service restoration in large-scale distribution systems
MM Gois, DS Sanches, J Martins, JBAL Junior, ACB Delbem
Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013
Differential evolution applied to line-connected induction motors stator fault identification
JJ Guedes, MF Castoldi, A Goedtel, CM Agulhari, DS Sanches
Soft Computing 23, 11217-11226, 2019
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria
RP Bonidia, APA Santos, BLS de Almeida, PF Stadler, UN da Rocha, ...
Briefings in Bioinformatics 23 (4), bbac218, 2022
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