Renato Tinós

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 49

Top Topics

Traveling Salesman

Optimization Problems

Top Venues

Publications

Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa
CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. GECCO (2024)
Marcin Michal Komarnicki, Michal Witold Przewozniczek, Renato Tinós, Xiaodong Li
Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems. GECCO (2024)
Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley, Francisco Chicano
Iterated Local Search with Linkage Learning. ACM Trans. Evol. Learn. Optim. 4 (2) (2024)
Francisco Chicano, Darrell Whitley, Gabriela Ochoa, Renato Tinós
Generalizing and Unifying Gray-box Combinatorial Optimization Operators. CoRR (2024)
Douglas Donizeti de Castilho Braz, Moisés Rocha dos Santos, Marcos Basile Saviano de Paula, Donato da Silva Filho, Ewerton Guarnier, Lucas Penido Alípio, Renato Tinós, André C. P. L. F. de Carvalho
Multi-source data ensemble for energy price trend forecasting. Eng. Appl. Artif. Intell. 133 (2024)
Renato Tinós, Liang Zhao, Francisco Chicano, Darrell Whitley
NK Hybrid Genetic Algorithm for Clustering. CoRR (2024)
Francisco Chicano, Gabriela Ochoa, Darrell Whitley, Renato Tinós
Dynastic Potential Crossover Operator. CoRR (2024)
Sérgio Baldo Júnior, Murillo G. Carneiro, João-Batista Destro-Filho, Liang Zhao, Renato Tinós
Classification of coma etiology using convolutional neural networks and long-short term memory networks. IJCNN (2023)
Michal Witold Przewozniczek, Renato Tinós, Marcin Michal Komarnicki
First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms. GECCO (2023)
Maísa de Carvalho Silva, Paulo Guilherme Pinheiro Pereira, Lariza Laura de Oliveira, Renato Tinós
Multiobjective Evolutionary Algorithms Applied to the Optimization of Expanded Genetic Codes. BRACIS (3) (2023)
Douglas Castilho, Moisés R. Santos, Renato Tinós, André C. P. L. F. de Carvalho, Marcos B. S. Paula, Lucas Ladeira, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Antonio Carlos De Oliveira Júnior, Lucas P. Alipio
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets. IJCNN (2023)
Renato Tinós, Michal Przewozniczek, Darrell Whitley, Francisco Chicano
Genetic Algorithm with Linkage Learning. GECCO (2023)
Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley
Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization. GECCO (2022)
Moisés R. Santos, Douglas D. C. Braz, André C. P. L. F. de Carvalho, Renato Tinós, Marcos B. S. Paula, Gabriel Doretto, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Lorena E. Ferreira, José E. Carmo Júnior
Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market. LA-CCI (2022)
Francisco Chicano, Gabriela Ochoa, L. Darrell Whitley, Renato Tinós
Dynastic Potential Crossover Operator. Evol. Comput. 30 (3) (2022)
Michal Witold Przewozniczek, Renato Tinós, Bartosz Frej, Marcin M. Komarnicki
On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover. GECCO (2022)
Rafael Silva Del Lama, Raquel Mariana Candido, Natália Santana Chiari-Correia, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo Marques, Renato Tinós
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics. J. Digit. Imaging 35 (3) (2022)
Daniel A. Santos, José Augusto Baranauskas, Renato Tinós
Use of Fitness Sharing in the Local Rule-Based Explanations Method. LA-CCI (2021)
Renato Tinós, Darrell Whitley, Francisco Chicano, Gabriela Ochoa
Partition crossover for continuous optimization: ePX. GECCO (2021)
Giliard Almeida de Godoi, Renato Tinós, Danilo Sipoli Sanches
A Graph-Based Crossover and Soft-Repair Operators for the Steiner Tree Problem. BRACIS (1) (2021)
Anirban Mukhopadhyay, L. Darrell Whitley, Renato Tinós
An efficient implementation of iterative partial transcription for the traveling salesman problem. GECCO (2021)
Luiz Eduardo Virgilio da Silva, Henrique Turin Moreira, Mariani Mendes Madisson Bernardo, André Schmidt, Minna Moreira Dias Romano, Hélio Cesar Salgado, Rubens Fazan Junior, Renato Tinós, Jose Antonio Marin-Neto
Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning. Biomed. Signal Process. Control. 67 (2021)
Renato Tinós
Artificial neural network based crossover for evolutionary algorithms. Appl. Soft Comput. 95 (2020)
Renato Tinós, L. Darrell Whitley, Gabriela Ochoa
A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling between Local Optima. Evol. Comput. 28 (2) (2020)
Renato Tinós, Shengxiang Yang
A framework for inducing artificial changes in optimization problems. Inf. Sci. 485 (2019)
L. Darrell Whitley, Francisco Chicano, Gabriela Ochoa, Andrew M. Sutton, Renato Tinós
Next generation genetic algorithms. GECCO (Companion) (2019)
Renato Tinós
Using Hyperplanes to Create Neutral Networks in Pseudo-Boolean Optimization. BRACIS (2019)
Ozeas Quevedo de Carvalho, Renato Tinós, L. Darrell Whitley, Danilo Sipoli Sanches
A New Method for Identification of Recombining Components in the Generalized Partition Crossover. BRACIS (2019)
Francisco Chicano, Gabriela Ochoa, L. Darrell Whitley, Renato Tinós
Quasi-Optimal Recombination Operator. EvoCOP (2019)
Renato Tinós
An RBF Network Based Crossover for Pseudo-Boolean Optimization. BRACIS (2019)
L. Darrell Whitley, Renato Tinós, Francisco Chicano
Optimal Neuron Selection and Generalization: NK Ensemble Neural Networks. PPSN (2) (2018)
Filipe Alves Neto Verri, Renato Tinós, Liang Zhao
Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization. CEC (2018)
Renato Tinós, L. Darrell Whitley
A Fusion Mechanism for the Generalized Asymmetric Partition Crossover. CEC (2018)
Renato Tinós, Liang Zhao, Francisco Chicano, L. Darrell Whitley
NK Hybrid Genetic Algorithm for Clustering. IEEE Trans. Evol. Comput. 22 (5) (2018)
L. Darrell Whitley, Francisco Chicano, Gabriela Ochoa, Andrew M. Sutton, Renato Tinós
Next generation genetic algorithms. GECCO (Companion) (2018)
Wenxiang Chen, L. Darrell Whitley, Renato Tinós, Francisco Chicano
Tunneling between plateaus: improving on a state-of-the-art MAXSAT solver using partition crossover. GECCO (2018)
Francisco Chicano, Gabriela Ochoa, L. Darrell Whitley, Renato Tinós
Enhancing partition crossover with articulation points analysis. GECCO (2018)
Renato Tinós, Keld Helsgaun, L. Darrell Whitley
Efficient Recombination in the Lin-Kernighan-Helsgaun Traveling Salesman Heuristic. PPSN (1) (2018)
Lariza Laura de Oliveira, Alex Alves Freitas, Renato Tinós
Multi-objective genetic algorithms in the study of the genetic code's adaptability. Inf. Sci. 425 (2018)
Francisco Chicano, L. Darrell Whitley, Gabriela Ochoa, Renato Tinós
Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search. GECCO (2017)
Danilo Sipoli Sanches, L. Darrell Whitley, Renato Tinós
Improving an exact solver for the traveling salesman problem using partition crossover. GECCO (2017)
Danilo Sipoli Sanches, L. Darrell Whitley, Renato Tinós
Building a better heuristic for the traveling salesman problem: combining edge assembly crossover and partition crossover. GECCO (2017)
Filipe Alves Neto Verri, Renato Tinós, Liang Zhao
Feature learning in feature-sample networks using multi-objective optimization. CoRR (2017)
Renato Tinós, Shengxiang Yang
Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization. PPSN (2016)
Nadarajen Veerapen, Gabriela Ochoa, Renato Tinós, L. Darrell Whitley
Tunnelling Crossover Networks for the Asymmetric TSP. PPSN (2016)
Francisco Chicano, L. Darrell Whitley, Renato Tinós
Efficient Hill-Climber for Multi-Objective Pseudo-Boolean Optimization. CoRR (2016)
Francisco Chicano, L. Darrell Whitley, Renato Tinós
Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems. GECCO (2016)
Renato Tinós, Liang Zhao, Francisco Chicano, L. Darrell Whitley
A New Evaluation Function for Clustering: The NK Internal Validation Criterion. GECCO (2016)
Francisco Chicano, L. Darrell Whitley, Renato Tinós
Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization. EvoCOP (2016)
Lariza Laura de Oliveira, Paulo de Oliveira, Renato Tinós
A multiobjective approach to the genetic code adaptability problem. BMC Bioinform. 16 (2015)
Renato Tinós, L. Darrell Whitley, Francisco Chicano
Partition Crossover for Pseudo-Boolean Optimization. FOGA (2015)
Gabriela Ochoa, Francisco Chicano, Renato Tinós, L. Darrell Whitley
Tunnelling Crossover Networks. GECCO (2015)
L. Darrell Whitley, Renato Tinós, Francisco Chicano
Optimal Neuron Selection: NK Echo State Networks for Reinforcement Learning. CoRR (2015)
Ariadne de Andrade Costa, Renato Tinós
An Evolving Artificial Neural Network for the Investigation of Rat Exploratory Behavior. BRACIS (2014)
Renato Tinós, L. Darrell Whitley, Adele E. Howe
Use of explicit memory in the dynamic traveling salesman problem. GECCO (2014)
Renato Tinós, Shengxiang Yang
Analysis of fitness landscape modifications in evolutionary dynamic optimization. Inf. Sci. 282 (2014)
Renato Tinós, L. Darrell Whitley, Gabriela Ochoa
Generalized asymmetric partition crossover (GAPX) for the asymmetric TSP. GECCO (2014)
Lariza Laura de Oliveira, Renato Tinós
Entropy-based evaluation function in a multi-objective approach for the investigation of the genetic code robustness. Memetic Comput. 6 (3) (2014)
Lariza Laura de Oliveira, Renato Tinós
Using Base Position Errors in an Entropy-Based Evaluation Function for the Study of Genetic Code Adaptability. NICSO (2013)
Ariadne A. Costa, Patrícia A. Vargas, Renato Tinós
Using explicit averaging fitness for studying the behaviour of rats in a maze. ECAL (2013)
Helder K. Shimo, Renato Tinós
Use of self-organizing suppression and q-Gaussian mutation in artificial immune systems. Int. J. Intell. Comput. Cybern. 6 (3) (2013)
Renato Tinós
Analysing fitness landscape changes in evolutionary robots. GECCO (Companion) (2012)
Lariza Laura de Oliveira, Renato Tinós
Entropy-based evaluation function for the investigation of genetic code adaptability. BCB (2012)
Ariadne A. Costa, Antônio Carlos Roque-da-Silva, Silvio Morato, Renato Tinós
A Model Based on Genetic Algorithm for Investigation of the Behavior of Rats in the Elevated Plus-Maze. IDEAL (2012)
Juliana Tarossi Pollettini, Sylvia R. G. Panico, Julio C. Daneluzzi, Renato Tinós, José Augusto Baranauskas, Alessandra A. Macedo
Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records. J. Medical Syst. 36 (6) (2012)
Renato Tinós, Shengxiang Yang
-Gaussian mutation in evolutionary algorithms. Soft Comput. 15 (8) (2011)
Renato Tinós, Shengxiang Yang
Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. Int. J. Hybrid Intell. Syst. 8 (3) (2011)
Renato Tinós, Shengxiang Yang
An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System. PPSN (1) (2010)
Renato Tinós, Shengxiang Yang
Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems. SBRN (2010)
Helder K. Shimo, Antônio Carlos Roque-da-Silva, Renato Tinós, Julian Tejada, Silvio Morato
Use of Evolutionary Robots as an Auxiliary Tool for Developing Behavioral Models of Rats in an Elevated Plus-Maze. SBRN (2010)
Vinicius Tragante do Ó, Renato Tinós
Control of the number of random imigrants in genetic algorithms for protein structure prediction. GECCO (2009)
Juliana Tarossi Pollettini, Flávia P. Nicolas, Sylvia R. G. Panico, Julio C. Daneluzzi, Renato Tinós, José Augusto Baranauskas, Alessandra Alaniz Macedo
A Software Architecture-Based Framework Supporting Suggestion of Medical Surveillance Level from Classification of Electronic Patient Records. CSE (1) (2009)
Renato Tinós, Luiz Otávio Murta Júnior
Selection of Radial Basis Functions via Genetic Algorithms in Pattern Recognition Problems. SBRN (2008)
Shengxiang Yang, Renato Tinós
Hyper-selection in dynamic environments. IEEE Congress on Evolutionary Computation (2008)
Renato Tinós, Shengxiang Yang
Evolutionary programming with q-Gaussian mutation for dynamic optimization problems. IEEE Congress on Evolutionary Computation (2008)
Renato Tinós, Shengxiang Yang
A self-organizing random immigrants genetic algorithm for dynamic optimization problems. Genet. Program. Evolvable Mach. 8 (3) (2007)
Shengxiang Yang, Renato Tinós
A hybrid immigrants scheme for genetic algorithms in dynamic environments. Int. J. Autom. Comput. 4 (3) (2007)
Renato Tinós, Shengxiang Yang
Self-adaptation of mutation distribution in evolutionary algorithms. IEEE Congress on Evolutionary Computation (2007)
Renato Tinós, Shengxiang Yang
Continuous dynamic problem generators for evolutionary algorithms. IEEE Congress on Evolutionary Computation (2007)
Renato Tinós, Marco H. Terra, João Yoshiyuki Ishihara
Motion and force control of cooperative robotic manipulators with passive joints. IEEE Trans. Control. Syst. Technol. 14 (4) (2006)
Renato Tinós, André Carlos Ponce de Leon Ferreira de Carvalho
Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. Neurocomputing 70 (1-3) (2006)
Renato Tinós, Shengxiang Yang
Genetic algorithms with self-organized criticality for dynamic optimization problems. Congress on Evolutionary Computation (2005)
Renato Tinós, André Carlos Ponce de Leon Ferreira de Carvalho
A genetic algorithm with gene dependent mutation probability for non-stationary optimization problems. IEEE Congress on Evolutionary Computation (2004)
Renato Tinós, Marco Henrique Terra
Control of cooperative manipulators with passive joints. ACC (2002)
Renato Tinós, Marco H. Terra, Marcel Bergerman
Fault Tolerance in Cooperative Manipulators. ICRA (2002)
Renato Tinós, Marco H. Terra
Free-swinging and locked joint fault detection and isolation in cooperative manipulators. ESANN (2002)
Renato Tinós, Luis E. Navarro-Serment, Christiaan J. J. Paredis
Fault tolerant localization for teams of distributed robots. IROS (2001)
Marco Henrique Terra, Renato Tinós
Fault detection and isolation in robotic manipulators via neural networks: A comparison among three architectures for residual analysis. J. Field Robotics 18 (7) (2001)
Renato Tinós, Marco H. Terra
Fault Detection and Isolation in Robotic Manipulators and the Radial Basis Function Network Trained by the Kohonen's Self-Organizing Map. SBRN (1998)
Marco Henrique Terra, Renato Tinós
Fault detection and isolation for robotic systems using a multilayer perceptron and a radial basis function network. SMC (1998)