Mariá C. V. Nascimento - researchr alias

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Viewing Publication 1 - 31 from 31

2022

Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setupDesiree Maldonado Carvalho, Mariá C. V. Nascimento. eor, 296(1):158-173, 2022. [doi]

Community-based anomaly detection using spectral graph filteringRodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento. asc, 118:108489, 2022. [doi]

An integrated location-transportation problem under value-added tax issues in pharmaceutical distribution planningAura M. Jalal, Eli A. V. Toso, Camila P. S. Tautenhain, Mariá C. V. Nascimento. eswa, 206:117780, 2022. [doi]

An adaptive iterated local search heuristic for the Heterogeneous Fleet Vehicle Routing ProblemVinícius R. Máximo, Jean-François Cordeau, Mariá C. V. Nascimento. cor, 148:105954, 2022. [doi]

A novel multi-objective approach for link selection in aeronautical telecommunication networksMarco Aurélio Sernagiotto, Valério Rosset, Mariá C. V. Nascimento. anor, 319(2):1-31, 2022. [doi]

COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approachDalton G. B. Souza, Mariá C. V. Nascimento. asc, 125:109181, 2022. [doi]

2021

Intelligent-Guided Adaptive Search For The Traveling Backpacker ProblemCalvin Rodrigues da Costa, Mariá C. V. Nascimento. cec 2021: 2362-2369 [doi]

Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of BrazilTiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento. eswa, 182:115190, 2021. [doi]

Detecting Anomalies In Daily COVID-19 Cases Data From Brazil Capitals Using GSP TheoryRodrigo Francisquini, Tiago Tiburcio da Silva, Mariá C. V. Nascimento. cec 2021: 1296-1303 [doi]

A hybrid adaptive iterated local search with diversification control to the capacitated vehicle routing problemVinícius R. Máximo, Mariá C. V. Nascimento. eor, 294(3):1108-1119, 2021. [doi]

An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problemCamila P. S. Tautenhain, Ana Paula F. D. Barbosa-Póvoa, Bruna Mota, Mariá C. V. Nascimento. eor, 294(1):70-90, 2021. [doi]

2020

Determining the trade-offs between data delivery and energy consumption in large-scale WSNs by multi-objective evolutionary optimizationMarlon Jeske, Valério Rosset, Mariá C. V. Nascimento. cn, 179:107347, 2020. [doi]

An ensemble based on a bi-objective evolutionary spectral algorithm for graph clusteringCamila P. S. Tautenhain, Mariá C. V. Nascimento. eswa, 141, 2020. [doi]

Improved Multilevel Algorithm to Detect Communities in Flight NetworksCamila P. S. Tautenhain, Calvin R. Costa, Mariá C. V. Nascimento. bracis 2020: 573-587 [doi]

2019

Intensification, learning and diversification in a hybrid metaheuristic: an efficient unificationVinícius R. Máximo, Mariá C. V. Nascimento. heuristics, 25(4-5):539-564, 2019. [doi]

Spectral Algorithm for Line Graphs to Find Overlapping Communities in Social NetworksCamila P. S. Tautenhain, Mariá C. V. Nascimento. icaart 2019: 306-317 [doi]

A multi-objective matheuristic for designing and planning sustainable supply chainsCamila P. S. Tautenhain, Ana Paula Barbosa-Povoa, Mariá C. V. Nascimento. candie, 135:1203-1223, 2019. [doi]

2018

A kernel search to the multi-plant capacitated lot sizing problem with setup carry-overDesiree Maldonado Carvalho, Mariá C. V. Nascimento. cor, 100:43-53, 2018. [doi]

NGA-LP: A Robust and Improved Genetic Algorithm to Detect Communities in Directed NetworksRodrigo Francisquini, Mariá C. V. Nascimento, Márcio P. Basgalupp. cec 2018: 1-8 [doi]

The Traveling Backpacker Problem: A computational comparison of two formulationsKátia Y. Nakamura, Leandro C. Coelho, Jacques Renaud, Mariá C. V. Nascimento. jors, 69(1):108-114, 2018. [doi]

2017

GA-LP: A genetic algorithm based on Label Propagation to detect communities in directed networksRodrigo Francisquini, Valério Rosset, Mariá C. V. Nascimento. eswa, 74:127-138, 2017. [doi]

Intelligent-guided adaptive search for the maximum covering location problemVinícius R. Máximo, Mariá C. V. Nascimento, André C. P. L. F. Carvalho. cor, 78:129-137, 2017. [doi]

Enhancing the reliability on data delivery and energy efficiency by combining swarm intelligence and community detection in large-scale WSNsValério Rosset, Matheus A. De Paulo, Juliana G. Cespedes, Mariá C. V. Nascimento. eswa, 78:89-102, 2017. [doi]

2016

Lagrangian heuristics for the capacitated multi-plant lot sizing problem with multiple periods and itemsDesiree Maldonado Carvalho, Mariá C. V. Nascimento. cor, 71:137-148, 2016. [doi]

Community Detection by Consensus Genetic-based Algorithm for Directed NetworksStefano B. B. R. P. Mathias, Valério Rosset, Mariá C. V. Nascimento. kes 2016: 90-99 [doi]

Active Consensus-Based Semi-supervised Growing Neural GasVinícius R. Máximo, Mariá C. V. Nascimento, Fabricio A. Breve, Marcos G. Quiles. iconip 2016: 126-135 [doi]

Improving the Connectivity of Community Detection-based Hierarchical Routing Protocols in Large-scale WSNsMatheus A. De Paulo, Mariá C. V. Nascimento, Valério Rosset. kes 2016: 521-530 [doi]

Growing Neural Gas as a Memory Mechanism of a Heuristic to Solve a Community Detection Problem in NetworksCamila Pereira Santos, Mariá C. V. Nascimento. kes 2016: 485-494 [doi]

A consensus graph clustering algorithm for directed networksCamila Pereira Santos, Desiree Maldonado Carvalho, Mariá C. V. Nascimento. eswa, 54:121-135, 2016. [doi]

2014

Modularity Maximization Adjusted by Neural NetworksDesiree Maldonado Carvalho, Hugo Resende, Mariá C. V. Nascimento. iconip 2014: 287-294 [doi]

Community detection in networks via a spectral heuristic based on the clustering coefficientMariá C. V. Nascimento. DAM, 176:89-99, 2014. [doi]

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