Ricardo Lüders

According to our database, Ricardo Lüders authored at least 38 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Traffic-Aware Beacon Scheme for Cooperative Driving and Network Routing Trade-Off.

Alvaro T. Amaya, Alexandre de Almeida Prado Pohl, Ricardo Lüders

IEEE Trans. Intell. Transp. Syst., September, 2024

Towards spatiotemporal integration of bus transit with data-driven approaches.

Julio Borges, Altieris M. Peixoto, Thiago H. Silva, Anelise Munaretto, Ricardo Lüders

J. Internet Serv. Appl., 2024

ACO-Pruning for Deep Neural Networks: A Case Study in CNNs.

Renato Sellaro Dorighello, Myriam Regattieri Delgado, Ricardo Lüders, Daniel Fernando Pigatto

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2022

Comparing global tourism flows measured by official census and social sensing.

Lucas Skora, Helen C. de Mattos Senefonte, Myriam Regattieri Delgado, Ricardo Lüders, Thiago H. Silva

Online Soc. Networks Media, 2022

Selection hyper-heuristics for the multi and many-objective quadratic assignment problem.

Sandra M. Venske, Carolina P. de Almeida, Ricardo Lüders, Myriam Regattieri Delgado

Comput. Oper. Res., 2022

PredicTour: Predicting Mobility Patterns of Tourists Based on Social Media User's Profiles.

Helen C. de Mattos Senefonte, Myriam Regattieri Delgado, Ricardo Lüders, Thiago Henrique Silva

IEEE Access, 2022

Traffic-Aware Beacon Interval for Position-Based Protocols in VANETs.

Alvaro T. Amaya, Alexandre de Almeida Prado Pohl, Mauro S. Fonseca, Ricardo Lüders

Proceedings of the IEEE Latin-American Conference on Communications, 2022

On the fitness landscapes of interdependency models in the travelling thief problem.

Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Peter Nielsen, Markus Wagner

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Saving computational budget in Bayesian network-based evolutionary algorithms.

Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Diego Oliva, Markus Wagner, Inkyung Sung, Mohamed El Yafrani

Nat. Comput., 2021

Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape.

Marcella S. R. Martins, Mohamed El Yafrani, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Hugo Valadares Siqueira, Huseyin Gokhan Akcay, Belaïd Ahiod

J. Heuristics, 2021

A selection hyperheuristic guided by Thompson sampling for numerical optimization.

Marcella Scoczynski Ribeiro Martins, Diego Oliva, Erick Rodríguez-Esparza, Myriam Regattieri Delgado, Ricardo Lüders, Mohamed El Yafrani, Luiz Ledo, Mohamed E. Abd Elaziz, Marco Antonio Pérez Cisneros

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

A simheuristic approach for throughput maximization of asynchronous buffered stochastic mixed-model assembly lines.

Thiago Cantos Lopes, Adalberto Sato Michels, Ricardo Lüders, Leandro Magatão

Comput. Oper. Res., 2020

Hyper-heuristics using multi-armed bandit models for multi-objective optimization.

Carolina P. de Almeida, Richard A. Gonçalves, Sandra M. Venske, Ricardo Lüders, Myriam Regattieri Delgado

Appl. Soft Comput., 2020

Regional Influences on Tourists Mobility Through the Lens of Social Sensing.

Helen C. de Mattos Senefonte, Gabriel B. Frizzo, Myriam Regattieri de Biase da Silva Delgado, Ricardo Lüders, Daniel Silver, Thiago Henrique Silva

Proceedings of the Social Informatics - 12th International Conference, 2020

Influências Regionais na Mobilidade de Turistas e Residentes Usando Dados de Mídia Social.

David Augusto Marcelino Veiga, Gabriel B. Frizzo, Helen C. de Mattos Senefonte, Ricardo Lüders, Myriam Regattieri Delgado, Thiago Henrique Silva

Proceedings of the XXXVIII Brazilian Symposium on Computer Networks and Distributed Systems, 2020

Multi-layer local optima networks for the analysis of advanced local search-based algorithms.

Marcella S. R. Martins, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Lüders

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms.

Mohamed El Yafrani, Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Inkyung Sung, Ricardo Lüders, Markus Wagner

CoRR, 2019

Classifying Venue Categories of Unlabeled Check-ins Using Mobility Patterns.

Helen C. de Mattos Senefonte, Thiago Henrique Silva, Ricardo Lüders, Myriam R. B. S. Delgado

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm.

Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Inkyung Sung, Markus Wagner, Diego Oliva

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem.

Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida

J. Heuristics, 2018

A hyperheuristic approach based on low-level heuristics for the travelling thief problem.

Mohamed El Yafrani, Marcella S. R. Martins, Markus Wagner, Belaïd Ahiod, Myriam Regattieri Delgado, Ricardo Lüders

Genet. Program. Evolvable Mach., 2018

Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm.

Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida

Appl. Soft Comput., 2018

Influence of Virtual Road Traffic Sensors of Oporto for Origin-Destination Matrix Estimation.

Luciano Urgal Pando, Ricardo Lüders, Keiko Verônica Ono Fonseca, Marcelo de Oliveira Rosa

Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

Congestion Potential - A New Way to Analyze Public Transportation based on Complex Networks.

Anderson De Bona, Marcelo de Oliveira Rosa, Keiko Ono Fonseca, Ricardo Lüders, Nádia P. Kozievitch

Proceedings of the IEEE International Smart Cities Conference, 2018

A fitness landscape analysis of the travelling thief problem.

Mohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner, Myriam Regattieri de Biase da Silva Delgado, Belaïd Ahiod, Ricardo Lüders

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection.

Lucas Prestes, Myriam Regattieri Delgado, Ricardo Lüders, Richard A. Gonçalves, Carolina P. de Almeida

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems.

Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A New Hyper-Heuristic Based on a Contextual Multi-Armed Bandit for Many-Objective Optimization.

Richard A. Gonçalves, Carolina Paula de Almeida, Ricardo Lüders, Myriam Regattieri Delgado

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem.

Carolina P. de Almeida, Richard A. Gonçalves, Sandra M. Venske, Ricardo Lüders, Myriam Regattieri Delgado

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Order-up-to-level policy update procedure for a supply chain subject to market demand uncertainty.

Eduardo de Oliveira Pacheco, Salvatore Cannella, Ricardo Lüders, Ana Paula F. D. Barbosa-Póvoa

Comput. Ind. Eng., 2017

Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm.

Marcella Scoczynski Ribeiro Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

Evaluating Electric Bus Operation for a Real-World BRT Public Transportation Using Simulation Optimization.

Mariana Teixeira Sebastiani, Ricardo Lüders, Keiko Verônica Ono Fonseca

IEEE Trans. Intell. Transp. Syst., 2016

Combining K-means method and complex network analysis to evaluate city mobility.

Emerson Luiz Chiesse da Silva, Marcelo de Oliveira Rosa, Keiko Verônica Ono Fonseca, Ricardo Lüders, Nádia Puchalski Kozievitch

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm.

Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Roberto Santana, Ricardo Lüders, Richard Aderbal Gonçalves, Carolina Paula de Almeida

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2014

Allocation of charging stations in an electric vehicle network using simulation optimization.

Mariana Teixeira Sebastiani, Ricardo Lüders, Keiko Verônica Ono Fonseca

Proceedings of the 2014 Winter Simulation Conference, 2014

2013

PSO with path relinking for resource allocation using simulation optimization.

Marcella S. R. Martins, Stefan Campana Fuchs, L. U. Pando, Ricardo Lüders, Myriam Regattieri Delgado

Comput. Ind. Eng., 2013

2001

On the calculation of optimal control for (MIN, +) and (MAX, +) linear systems.

Ricardo Lüders, R. Santos-Mendes

Proceedings of the 6th European Control Conference, 2001

Incremental optimal control of min-plus linear systems.

Ricardo Lüders, Rafael Santos-Mendes

Proceedings of the American Control Conference, 2001