Renato Tinós

Orcid: 0000-0003-4027-8851

According to our database1, Renato Tinós authored at least 87 papers between 1998 and 2024.

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Bibliography

2024
Iterated Local Search with Linkage Learning.
ACM Trans. Evol. Learn. Optim., June, 2024

Multi-source data ensemble for energy price trend forecasting.
Eng. Appl. Artif. Intell., 2024

Generalizing and Unifying Gray-Box Combinatorial Optimization Operators.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Classification of coma etiology using convolutional neural networks and long-short term memory networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets.
Proceedings of the International Joint Conference on Neural Networks, 2023

Genetic Algorithm with Linkage Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Multiobjective Evolutionary Algorithms Applied to the Optimization of Expanded Genetic Codes.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics.
J. Digit. Imaging, 2022

Dynastic Potential Crossover Operator.
Evol. Comput., 2022

Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning.
Biomed. Signal Process. Control., 2021

Use of Fitness Sharing in the Local Rule-Based Explanations Method.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

Partition crossover for continuous optimization: ePX.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

An efficient implementation of iterative partial transcription for the traveling salesman problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A Graph-Based Crossover and Soft-Repair Operators for the Steiner Tree Problem.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling between Local Optima.
Evol. Comput., 2020

Artificial neural network based crossover for evolutionary algorithms.
Appl. Soft Comput., 2020

2019
A framework for inducing artificial changes in optimization problems.
Inf. Sci., 2019

Next generation genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Quasi-Optimal Recombination Operator.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

Using Hyperplanes to Create Neutral Networks in Pseudo-Boolean Optimization.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

An RBF Network Based Crossover for Pseudo-Boolean Optimization.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

A New Method for Identification of Recombining Components in the Generalized Partition Crossover.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
NK Hybrid Genetic Algorithm for Clustering.
IEEE Trans. Evol. Comput., 2018

Multi-objective genetic algorithms in the study of the genetic code's adaptability.
Inf. Sci., 2018

Optimal Neuron Selection and Generalization: NK Ensemble Neural Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Efficient Recombination in the Lin-Kernighan-Helsgaun Traveling Salesman Heuristic.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Enhancing partition crossover with articulation points analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Tunneling between plateaus: improving on a state-of-the-art MAXSAT solver using partition crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Fusion Mechanism for the Generalized Asymmetric Partition Crossover.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Improving an exact solver for the traveling salesman problem using partition crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Building a better heuristic for the traveling salesman problem: combining edge assembly crossover and partition crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Tunnelling Crossover Networks for the Asymmetric TSP.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A New Evaluation Function for Clustering: The NK Internal Validation Criterion.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016

2015
Optimal Neuron Selection: NK Echo State Networks for Reinforcement Learning.
CoRR, 2015

A multiobjective approach to the genetic code adaptability problem.
BMC Bioinform., 2015

Tunnelling Crossover Networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Partition Crossover for Pseudo-Boolean Optimization.
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015

2014
Entropy-based evaluation function in a multi-objective approach for the investigation of the genetic code robustness.
Memetic Comput., 2014

Analysis of fitness landscape modifications in evolutionary dynamic optimization.
Inf. Sci., 2014

Generalized asymmetric partition crossover (GAPX) for the asymmetric TSP.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Use of explicit memory in the dynamic traveling salesman problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

An Evolving Artificial Neural Network for the Investigation of Rat Exploratory Behavior.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Use of self-organizing suppression and q-Gaussian mutation in artificial immune systems.
Int. J. Intell. Comput. Cybern., 2013

Using Base Position Errors in an Entropy-Based Evaluation Function for the Study of Genetic Code Adaptability.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 2013

Using explicit averaging fitness for studying the behaviour of rats in a maze.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

2012
Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records.
J. Medical Syst., 2012

A Model Based on Genetic Algorithm for Investigation of the Behavior of Rats in the Elevated Plus-Maze.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Analysing fitness landscape changes in evolutionary robots.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Entropy-based evaluation function for the investigation of genetic code adaptability.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Use of the<i> q</i>-Gaussian mutation in evolutionary algorithms.
Soft Comput., 2011

Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems.
Int. J. Hybrid Intell. Syst., 2011

2010
Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Use of Evolutionary Robots as an Auxiliary Tool for Developing Behavioral Models of Rats in an Elevated Plus-Maze.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System.
Proceedings of the Parallel Problem Solving from Nature, 2010

2009
Use of the q-Gaussian Function in Radial Basis Function Networks.
Proceedings of the Foundations of Computational Intelligence, 2009

Control of the number of random imigrants in genetic algorithms for protein structure prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A Software Architecture-Based Framework Supporting Suggestion of Medical Surveillance Level from Classification of Electronic Patient Records.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
Selection of Radial Basis Functions via Genetic Algorithms in Pattern Recognition Problems.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Hyper-selection in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Evolutionary programming with q-Gaussian mutation for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

A hybrid immigrants scheme for genetic algorithms in dynamic environments.
Int. J. Autom. Comput., 2007

A self-organizing random immigrants genetic algorithm for dynamic optimization problems.
Genet. Program. Evolvable Mach., 2007

Continuous dynamic problem generators for evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Self-adaptation of mutation distribution in evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Motion and force control of cooperative robotic manipulators with passive joints.
IEEE Trans. Control. Syst. Technol., 2006

Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems.
Neurocomputing, 2006

2005
Genetic algorithms with self-organized criticality for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
A genetic algorithm with gene dependent mutation probability for non-stationary optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2002
Fault Tolerance in Cooperative Manipulators.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

Free-swinging and locked joint fault detection and isolation in cooperative manipulators.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Control of cooperative manipulators with passive joints.
Proceedings of the American Control Conference, 2002

2001
Fault detection and isolation in robotic manipulators via neural networks: A comparison among three architectures for residual analysis.
J. Field Robotics, 2001

Fault tolerant localization for teams of distributed robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

1998
Fault detection and isolation for robotic systems using a multilayer perceptron and a radial basis function network.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Fault Detection and Isolation in Robotic Manipulators and the Radial Basis Function Network Trained by the Kohonen's Self-Organizing Map.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998


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