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Sandra M. Venske
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2020 – today
- 2024
- [j9]Sandra Mara Guse Scós Venske
, Carolina Paula de Almeida
Metaheuristics and machine learning: an approach with reinforcement learning assisting neural architecture search. J. Heuristics 30(3-4): 199-224 (2024) - 2022
- [j8]Sandra M. Venske
Selection hyper-heuristics for the multi and many-objective quadratic assignment problem. Comput. Oper. Res. 148: 105961 (2022) - 2021
- [j7]Josiel Neumann Kuk, Richard Aderbal Gonçalves, Lucas Marcondes Pavelski
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem. Expert Syst. Appl. 165: 113774 (2021) - [j6]Lucas Siqueira, Sandra M. Venske:
Ab Initio Protein Structure Prediction Using Evolutionary Approach: A Survey. RITA 28(2): 11-24 (2021) - [c15]Bianca N. K. Senzaki
Hyper-Heuristic Based NSGA-III for the Many-Objective Quadratic Assignment Problem. BRACIS (1) 2021: 170-185 - [c14]Sandra M. Venske
Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization. CEC 2021: 1921-1928 - 2020
- [j5]Carolina P. de Almeida
Hyper-heuristics using multi-armed bandit models for multi-objective optimization. Appl. Soft Comput. 95: 106520 (2020) - [c13]Bianca N. K. Senzaki
Multi-objective Quadratic Assignment Problem: An Approach Using a Hyper-Heuristic Based on the Choice Function. BRACIS 2020: 136-150
2010 – 2019
- 2018
- [c12]Josiel Neumann Kuk
A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark. BRACIS 2018: 7-12 - [c11]Carolina P. de Almeida
Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem. BRACIS 2018: 139-144 - 2017
- [c10]Richard Aderbal Gonçalves
A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization. BRACIS 2017: 390-395 - [c9]Richard A. Gonçalves
Adaptive Operator Selection for Many-Objective Optimization with NSGA-III. EMO 2017: 267-281 - 2016
- [j4]Sandra M. Venske
ADEMO/D: An adaptive differential evolution for protein structure prediction problem. Expert Syst. Appl. 56: 209-226 (2016) - [j3]Lucas M. Pavelski
Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition. Neurocomputing 180: 55-67 (2016) - [j2]Gustavo H. Czaikoski, Paulo R. Urio, Richard A. Gonçalves
Evolução Diferencial com ensemble de Operadores de Mutação em GPGPUs para o Despacho Econômico de Energia Elétrica. RITA 23(2): 10-32 (2016) - [c8]Richard A. Gonçalves, Carolina P. de Almeida
Adaptive Operator Selection in NSGA-III. BRACIS 2016: 181-186 - 2015
- [c7]Richard A. Gonçalves
A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem. BRACIS 2015: 7-12 - [c6]Richard A. Gonçalves
MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems. EMO (1) 2015: 94-108 - [c5]Richard A. Gonçalves
Decomposition Based Multiobjective Hyper Heuristic with Differential Evolution. ICCCI (2) 2015: 129-138 - 2014
- [b1]Sandra Mara Guse Scós Venske:
Predição da estrutura de proteínas off-lattice usando evolução diferencial multiobjetivo adaptativa. Federal University of Technology - Paraná, Brazil, 2014 - [j1]Sandra M. Venske
ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm. Neurocomputing 127: 65-77 (2014) - [c4]Lucas M. Pavelski
ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution. BRACIS 2014: 318-323 - 2013
- [c3]Sandra M. Venske
A Multiobjective Algorithm for Protein Structure Prediction Using Adaptive Differential Evolution. BRACIS 2013: 263-268 - 2012
- [c2]Sandra M. Venske, Richard A. Gonçalves, Myriam Regattieri Delgado:
Differential Evolution to Multi-objective Protein Structure Prediction. BIOINFORMATICS 2012: 295-298 - [c1]Sandra M. Venske
ADEMO/D: Adaptive Differential Evolution for Multiobjective Problems. SBRN 2012: 226-231
Coauthor Index
aka: Carolina Paula de Almeida
aka: Myriam Regattieri de Biase da Silva Delgado
aka: Richard Aderbal Gonçalves
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last updated on 2024-08-05 21:15 CEST by the dblp team
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