Sandra M. Venske

Orcid: 0000-0001-8602-3008

According to our database1, Sandra M. Venske authored at least 25 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Metaheuristics and machine learning: an approach with reinforcement learning assisting neural architecture search.
J. Heuristics, August, 2024

2022
Selection hyper-heuristics for the multi and many-objective quadratic assignment problem.
Comput. Oper. Res., 2022

2021
Ab Initio Protein Structure Prediction Using Evolutionary Approach: A Survey.
RITA, 2021

An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem.
Expert Syst. Appl., 2021

Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Hyper-Heuristic Based NSGA-III for the Many-Objective Quadratic Assignment Problem.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
Hyper-heuristics using multi-armed bandit models for multi-objective optimization.
Appl. Soft Comput., 2020

Multi-objective Quadratic Assignment Problem: An Approach Using a Hyper-Heuristic Based on the Choice Function.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2018
A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Adaptive Operator Selection for Many-Objective Optimization with NSGA-III.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Evolução Diferencial com ensemble de Operadores de Mutação em GPGPUs para o Despacho Econômico de Energia Elétrica.
RITA, 2016

Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition.
Neurocomputing, 2016

ADEMO/D: An adaptive differential evolution for protein structure prediction problem.
Expert Syst. Appl., 2016

Adaptive Operator Selection in NSGA-III.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Decomposition Based Multiobjective Hyper Heuristic with Differential Evolution.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
Predição da estrutura de proteínas off-lattice usando evolução diferencial multiobjetivo adaptativa.
PhD thesis, 2014

ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm.
Neurocomputing, 2014

ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
A Multiobjective Algorithm for Protein Structure Prediction Using Adaptive Differential Evolution.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
ADEMO/D: Adaptive Differential Evolution for Multiobjective Problems.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Differential Evolution to Multi-objective Protein Structure Prediction.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012


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