Marcella S. R. Martins

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 22

Top Topics

Estimation Of Distribution Algorithms

Fitness Landscape

Error Correction

Top Venues

Appl. Soft Comput.

Publications

Lucas Francesco Piccioni Costa, Tathiana M. Barchi, Erikson Freitas de Morais, Andres E. Coca, Elder Schemberger, Marcella S. R. Martins, Hugo Valadares Siqueira
Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison. Appl. Artif. Intell. 37 (1) (2023)
Diego Oliva, Marcella S. R. Martins, Salvador Hinojosa, Mohamed E. Abd Elaziz, Paulo Victor dos Santos, Gelson da Cruz, Seyed Jalaleddin Mousavirad
A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization. Int. J. Mach. Learn. Cybern. 13 (12) (2022)
Marcella S. R. Martins, Mohamed El Yafrani, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Hugo Valadares Siqueira, Huseyin Gokhan Akcay, Belaïd Ahiod
Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape. J. Heuristics 27 (4) (2021)
Tathiana M. Barchi, Lucas Francesco Piccioni Costa, Erickson Diogo Pereira Puchta, Marcella S. R. Martins, Mauren Louise Sguario C. Andrade, Paulo S. G. de Mattos Neto, Hugo Valadares Siqueira
A Hybrid Model With Error Correction for Wind Speed Forecasting. LA-CCI (2021)
Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner
Toward more efficient heuristic construction of Boolean functions. Appl. Soft Comput. 107 (2021)
Diego Oliva, Erick Rodríguez-Esparza, Marcella S. R. Martins, Mohamed E. Abd Elaziz, Salvador Hinojosa, Ahmed A. Ewees, Songfeng Lu
Balancing the Influence of Evolutionary Operators for Global optimization. CEC (2020)
Denise Pechebovicz, Sthefanie Premebida, Vinicios Soares, Thiago Camargo, Jakson L. Bittencourt, Virgínia H. V. Baroncini, Marcella S. R. Martins
Plants recognition using embedded Convolutional Neural Networks on Mobile devices. ICIT (2020)
Sthefanie Premebida, Denise Pechebovicz, Thiago Camargo, Henrique Nazário, Vinicios Soares, Virgínia H. V. Baroncini, Erikson Freitas de Morais, Hugo Siqueira, Diego Oliva, Marcella S. R. Martins
Sunspot behavior forecast using neural networks approaches. ICIT (2020)
Diego Oliva, Marcella S. R. Martins, Valentín Osuna-Enciso, Erikson Freitas de Morais
Combining information from thresholding techniques through an evolutionary Bayesian network algorithm. Appl. Soft Comput. 90 (2020)
Marcella S. R. Martins, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Lüders
Multi-layer local optima networks for the analysis of advanced local search-based algorithms. GECCO (2020)
Diego Oliva, Marcella S. R. Martins
A Bayesian based Hyper-Heuristic approach for global optimization. CEC (2019)
Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner
A characterisation of S-box fitness landscapes in cryptography. CoRR (2019)
Diego Oliva, Salvador Hinojosa, Marcella S. R. Martins, Erick Rodríguez-Esparza, Noé Ortega-Sánchez, Marco A. Pérez Cisneros
Improving the estimation of parameters in induction motors using an evolutionary computation algorithm. LA-CCI (2019)
Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner
A characterisation of S-box fitness landscapes in cryptography. GECCO (2019)
Mohamed El Yafrani, Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Inkyung Sung, Ricardo Lüders, Markus Wagner
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms. CoRR (2019)
Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod
On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems. CEC (2018)
Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida
Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem. J. Heuristics 24 (1) (2018)
Mohamed El Yafrani, Marcella S. R. Martins, Markus Wagner, Belaïd Ahiod, Myriam Regattieri Delgado, Ricardo Lüders
A hyperheuristic approach based on low-level heuristics for the travelling thief problem. Genet. Program. Evolvable Mach. 19 (1-2) (2018)
Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida
Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm. Appl. Soft Comput. 73 (2018)
Mohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner, Myriam Regattieri de Biase da Silva Delgado, Belaïd Ahiod, Ricardo Lüders
A fitness landscape analysis of the travelling thief problem. GECCO (2018)
Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod
On the performance of multi-objective estimation of distribution algorithms for combinatorial problems. CoRR (2018)
Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Roberto Santana, Ricardo Lüders, Richard Aderbal Gonçalves, Carolina Paula de Almeida
HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. GECCO (2016)
Marcella S. R. Martins, S. C. Fuchs, L. U. Pando, Ricardo Lüders, Myriam Regattieri Delgado
PSO with path relinking for resource allocation using simulation optimization. Comput. Ind. Eng. 65 (2) (2013)