Helio J. C. Barbosa

Orcid: 0000-0001-5810-7554

Affiliations:
  • National Laboratory for Scientific Computing (LNCC), Petrópolis, RJ, Brazil
  • Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil


According to our database1, Helio J. C. Barbosa authored at least 108 papers between 1997 and 2024.

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Bibliography

2024
An interactive reference-point-based method for incorporating user preferences in multi-objective structural optimization problems.
Appl. Soft Comput., 2024

2023
Differential Evolution for linear equality constraint satisfaction via unconstrained search in the null space.
Evol. Intell., April, 2023

2022
Evaluating Models with Dynamic Sampling Holdout in Auto-ML.
SN Comput. Sci., 2022

Automated Machine Learning for Time Series Prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

A multitasking surrogate-assisted differential evolution method for solving bi-level optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
An efficient fault-tolerant communication algorithm for population-based metaheuristics.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Evaluating Models with Dynamic Sampling Holdout.
Proceedings of the Applications of Evolutionary Computation, 2021

Genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface.
Proceedings of the Progress in Artificial Intelligence, 2021

Human Activity Recognition Using Parallel Cartesian Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

On the Analysis of CGP Mutation Operators When Inferring Gene Regulatory Networks Using ScRNA-Seq Time Series Data.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms.
Appl. Soft Comput., 2020

Electrotonic Effect on Action Potential Dispersion with Cellular Automata.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Inferring Gene Regulatory Network Models from Time-Series Data Using Metaheuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Parallel Differential Evolution Algorithms for Stackelberg-Nash Bilevel Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Solving Multi-Agent Pickup and Delivery Problems Using a Genetic Algorithm.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
An improved differential evolution algorithm for optimization including linear equality constraints.
Memetic Comput., 2019

SISS-Geo: Leveraging Citizen Science to Monitor Wildlife Health Risks in Brazil.
J. Heal. Informatics Res., 2019

Designing Combinational Circuits Using a Multi-objective Cartesian Genetic Programming with Adaptive Population Size.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Performance Evaluation of Local Surrogate Models in Bilevel Optimization.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Differential evolution based spatial filter optimization for brain-computer interface.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Auto-CVE: a coevolutionary approach to evolve ensembles in automated machine learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

On the Impact of the Objective Function on Imbalanced Data using Cartesian Genetic Programming Neuroevolutionary Approaches.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Knowledge discovery in multiobjective optimization problems in engineering via Genetic Programming.
Expert Syst. Appl., 2018

BioWorkbench: A High-Performance Framework for Managing and Analyzing Bioinformatics Experiments.
CoRR, 2018

Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology.
BMC Bioinform., 2018

Inserting Co-Evolution Information from Contact Maps into a Multiobjective Genetic Algorithm for Protein Structure Prediction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Hybridization of Cartesian Genetic Programming and Differential Evolution for Generating Classifiers Based on Neural Networks.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Hybrid Grammar-Based Genetic Programming for Symbolic Regression Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Differential Evolution with Adaptive Penalty and Tournament Selection for Optimization Including Linear Equality Constraints.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Multi- and Many-Threaded Heterogeneous Parallel Grammatical Evolution.
Proceedings of the Handbook of Grammatical Evolution, 2018

2017
A massively parallel Grammatical Evolution technique with OpenCL.
J. Parallel Distributed Comput., 2017

Application of evolutionary computation on ensemble forecast of quantitative precipitation.
Comput. Geosci., 2017

Predator-Prey Techniques for Solving Multiobjective Scheduling Problems for Unrelated Parallel Machines.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Improving de novo protein structure prediction using contact maps information.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

Using an aggregation tree to arrange energy function terms for protein structure prediction.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

Solving a Multiobjective Caloric-Restricted Diet Problem using Differential Evolution.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A parallel multi-GPU Clonal Selection Algorithm for optimization using OpenCL and OpenMP.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

Using Crowding-Distance in a Multiobjective Genetic Algorithm for Protein Structure Prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

On Heuristics for Seeding the Initial Population of Cartesian Genetic Programming Applied to Combinational Logic Circuits.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

An initialization method for grammatical evolution assisted by decision trees.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A differential evolution algorithm for bilevel problems including linear equality constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A study on the use of heuristics to solve a bilevel programming problem.
Int. Trans. Oper. Res., 2015

Ant colony approaches for multiobjective structural optimization problems with a cardinality constraint.
Adv. Eng. Softw., 2015

A Differential Evolution Algorithm for Optimization Including Linear Equality Constraints.
Proceedings of the Progress in Artificial Intelligence, 2015

Genetic operators based on backbone constraint angles for protein structure prediction.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

A multiobjective approach for protein structure prediction using a steady-state genetic algorithm with phenotypic crowding.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

Using grammar-based genetic programming to determine characteristics of multiple infections and environmental factors in the development of allergies and asthma.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Grammar-based immune programming to assist in the solution of functional equations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Differential evolution to find Stackelberg-Nash equilibrium in bilevel problems with multiple followers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A dynamic niching genetic algorithm strategy for docking highly flexible ligands.
Inf. Sci., 2014

A multiple minima genetic algorithm for protein structure prediction.
Appl. Soft Comput., 2014

NICeSim: An open-source simulator based on machine learning techniques to support medical research on prenatal and perinatal care decision making.
Artif. Intell. Medicine, 2014

Optimization of combinational logic circuits through decomposition of truth table and evolution of sub-circuits.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Differential Evolution assisted by a surrogate model for bilevel programming problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Accelerated parallel genetic programming tree evaluation with OpenCL.
J. Parallel Distributed Comput., 2013

Improving recruitment effectiveness using genetic programming techniques.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

Differential evolution with the Adaptive Penalty Method for constrained multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Evaluating the feasibility of grammar-based GP in combining meteorological forecast models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Differential evolution for bilevel programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
An immune-inspired instance selection mechanism for supervised classification.
Memetic Comput., 2012

Adaptive Operator Selection at the Hyper-level.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A Genetic Algorithm Assisted by a Locally Weighted Regression Surrogate Model.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

A family of adaptive penalty schemes for steady-state genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A study on fitness inheritance for enhanced efficiency in real-coded genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Grammar-based immune programming.
Nat. Comput., 2011

Surrogate-assisted clonal selection algorithms for expensive optimization problems.
Evol. Intell., 2011

Inferring Systems of Ordinary Differential Equations via Grammar-Based Immune Programming.
Proceedings of the Artificial Immune Systems - 10th International Conference, 2011

A new approach for generating numerical constants in grammatical evolution.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving Numerical Constants in Grammatical Evolution with the Ephemeral Constant Method.
Proceedings of the Progress in Artificial Intelligence, 2011

Design optimization of geometrically nonlinear truss structures considering cardinality constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Evaluation of a distributed numerical simulation optimization approach applied to aquifer remediation.
Proceedings of the International Conference on Computational Science, 2010

Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

A Faster Clonal Selection Algorithm for Expensive Optimization Problems.
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010

Probabilistic performance profiles for the experimental evaluation of stochastic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Coevolutionary multi-population genetic programming for data classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Full-atom ab initio protein structure prediction with a Genetic Algorithm using a similarity-based surrogate model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Using performance profiles to analyze the results of the 2006 CEC constrained optimization competition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Artificial Immune Systems for Optimization.
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009

Grammar-Based Immune Programming for Symbolic Regression.
Proceedings of the Artificial Immune Systems, 8th International Conference, 2009

On the characteristics of sequential decision problems and their impact on evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A similarity-based surrogate model for expensive evolutionary optimization with fixed budget of simulations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

On the Characteristics of Sequential Decision Problems and Their Impact on Evolutionary Computation and Reinforcement Learning.
Proceedings of the Artifical Evolution, 2009

2008
Evolutionary algorithms to simulate the phylogenesis of a binary artificial immune system.
Evol. Intell., 2008

Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

A new hybrid AIS-GA for constrained optimization problems in mechanical engineering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Genetic Algorithm for Finding Multiple Low Energy Conformations of Poly Alanine Sequences Under an Atomistic Protein Model.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

A Stochastic Rank-Based Ant System for Discrete Structural Optimization.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks.
Proceedings of the Artificial Immune Systems, 6th International Conference, 2007

Suppression based immune mechanism to find arepresentative training set in data classification tasks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A hybrid genetic algorithm for constrained optimization problems in mechanical engineering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
GOLS - Genetic orthogonal least squares algorithm for training RBF networks.
Neurocomputing, 2006

2005
A GA-Simplex Hybrid Algorithm for Global Minimization of Molecular Potential Energy Functions.
Ann. Oper. Res., 2005

Coevolutionary Genetic Algorithms to Simulate the Immune System's Gene Libraries Evolution.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A genetic algorithm encoding for a class of cardinality constraints.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Selection-Insertion Schemes in Genetic Algorithms for the Flexible Ligand Docking Problem.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
A new adaptive penalty scheme for genetic algorithms.
Inf. Sci., 2003

A Genetic Algorithm applied to the Three-Dimensional HP Protein Folding Model.
Proceedings of the II Brazilian Workshop on Bioinformatics, 2003

An Adaptive Penalty Scheme for Steady-State Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
Growing Compact RBF Networks Using a Genetic Algorithm.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

An Adaptive Penalty Scheme In Genetic Algorithms For Constrained Optimiazation Problems.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2000
Graph Layout Using a Genetic Algorithm.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

A Hybrid Genetic Algorithm for Finding Stable Conformations of Small Molecules.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

Symbolic Regression via Genetic Programming.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

A non-generational genetic algorithm for multiobjective optimization.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
A coevolutionary genetic algorithm for constrained optimization.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997
A Coevolutionary Genetic Algorithm for a Game Approach to Structural Optimization.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997


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