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Sandra Mara Guse Scós Venske
Sandra Mara Guse Scós Venske
Professor de Ciência da Computação, Universidade Estadual do Centro-Oeste
Verified email at unicentro.br
Title
Cited by
Cited by
Year
ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm
SM Venske, RA Gonçalves, MR Delgado
Neurocomputing 127, 65-77, 2014
812014
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the environmental/economic load dispatch problem
JN Kuk, RA Gonçalves, LM Pavelski, SMGS Venske, CP De Almeida, ...
Expert Systems with Applications 165, 113774, 2021
452021
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
382016
MOEA/D-HH: A hyper-heuristic for multi-objective problems
RA Gonçalves, JN Kuk, CP Almeida, SM Venske
Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO …, 2015
352015
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
302016
Ademo/d: Adaptive differential evolution for multiobjective problems
SMS Venske, RA Gonçalves, MR Delgado
2012 Brazilian symposium on neural networks, 226-231, 2012
242012
Hyper-heuristics using multi-armed bandit models for multi-objective optimization
CP Almeida, RA Gonçalves, S Venske, R Lüders, M Delgado
Applied Soft Computing 95, 106520, 2020
222020
ELMOEA/D-DE: Extreme learning surrogate models in multi-objective optimization based on decomposition and differential evolution
LM Pavelski, MR Delgado, CP De Almeida, RA Gonçalves, SM Venske
2014 Brazilian conference on intelligent systems, 318-323, 2014
212014
Decomposition based multiobjective hyper heuristic with differential evolution
RA Gonçalves, JN Kuk, CP Almeida, SM Venske
Computational Collective Intelligence: 7th International Conference, ICCCI …, 2015
122015
A new adaptive operator selection for NSGA-III applied to CEC 2018 many-objective benchmark
J Kuk, R Goncalves, C Almeida, S Venske, A Pozo
2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 7-12, 2018
112018
Multi-armed bandit based hyper-heuristics for the permutation flow shop problem
C Almeida, R Goncalves, S Venske, R Lüders, M Delgado
2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 139-144, 2018
112018
Adaptive operator selection for many-objective optimization with NSGA-III
RA Gonçalves, LM Pavelski, CP de Almeida, JN Kuk, SM Venske, ...
International conference on evolutionary multi-criterion optimization, 267-281, 2017
102017
Selection hyper-heuristics for the multi and many-objective quadratic assignment problem
SM Venske, CP Almeida, R Lüders, MR Delgado
Computers & Operations Research 148, 105961, 2022
92022
A new hyper-heuristic based on a restless multi-armed bandit for multi-objective optimization
RA Gonçalves, CP de Almeida, SMGS Venske, MRB da Silva, ATR Pozo
2017 Brazilian Conference on Intelligent Systems (BRACIS), 390-395, 2017
92017
A multiobjective algorithm for protein structure prediction using adaptive differential evolution
SMS Venske, RA Gonçalves, EM Benelli, MR Delgado
2013 Brazilian Conference on Intelligent Systems, 263-268, 2013
62013
Multi-objective quadratic assignment problem: An approach using a hyper-heuristic based on the choice function
BNK Senzaki, SM Venske, CP Almeida
Brazilian Conference on Intelligent Systems, 136-150, 2020
52020
Ab initio protein structure prediction using evolutionary approach: a survey
L Siqueira, S Venske
Revista de Informática Teórica e Aplicada 28 (2), 11-24, 2021
42021
Comparing selection hyper-heuristics for many-objective numerical optimization
SM Venske, CP Almeida, MR Delgado
2021 IEEE Congress on Evolutionary Computation (CEC), 1921-1928, 2021
42021
Adaptive Operator Selection in NSGA-III
RA Gonçalves, CP Almeida, LM Pavelski, SM Venske, JN Kuk, AT Pozo
2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 181-186, 2016
42016
Algoritmo híbrido genético-fuzzy aplicado em câncer de próstata
MA Tosatti, JCAG Filho, FR Forbeck, AB Fonseca, JPMK Katayama, ...
Hífen 32 (62), 2008
42008
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