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Mariá C. V. Nascimento
Mariá C. V. Nascimento
Associate Professor of Computer Science, Instituto Tecnológico de Aeronáutica (ITA)
Email verificata su ita.br
Titolo
Citata da
Citata da
Anno
Spectral methods for graph clustering–a survey
MCV Nascimento, AC De Carvalho
European Journal of Operational Research 211 (2), 221-231, 2011
3112011
GRASP heuristic with path-relinking for the multi-plant capacitated lot sizing problem
MCV Nascimento, MGC Resende, FMB Toledo
European Journal of Operational Research 200 (3), 747-754, 2010
972010
Community detection by modularity maximization using GRASP with path relinking
MCV Nascimento, L Pitsoulis
Computers & Operations Research 40 (12), 3121-3131, 2013
722013
Community detection in networks via a spectral heuristic based on the clustering coefficient
MCV Nascimento
Discrete Applied Mathematics 176, 89-99, 2014
552014
A hybrid adaptive Iterated Local Search with diversification control to the Capacitated Vehicle Routing Problem
VR Máximo, MCV Nascimento
European Journal of Operational Research 294 (3), 1108-1119, 2021
502021
Lagrangian heuristics for the capacitated multi-plant lot sizing problem with multiple periods and items
DM Carvalho, MCV Nascimento
Computers & Operations Research 71, 137-148, 2016
472016
Enhancing the reliability on data delivery and energy efficiency by combining swarm intelligence and community detection in large-scale WSNs
V Rosset, MA Paulo, JG Cespedes, MCV Nascimento
Expert Systems with Applications 78, 89-102, 2017
462017
Intelligent-guided adaptive search for the maximum covering location problem
VR Máximo, MCV Nascimento, AC Carvalho
Computers & Operations Research 78, 129-137, 2017
462017
Investigation of a new GRASP-based clustering algorithm applied to biological data
MCV Nascimento, FMB Toledo, AC de Carvalho
Computers & Operations Research 37 (8), 1381-1388, 2010
452010
A multi-objective matheuristic for designing and planning sustainable supply chains
CPS Tautenhain, AP Barbosa-Povoa, MCV Nascimento
Computers & Industrial Engineering 135, 1203-1223, 2019
412019
Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup
DM Carvalho, MCV Nascimento
European Journal of Operational Research 296 (1), 158-173, 2022
392022
COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approach
D Borges, MCV Nascimento
Applied Soft Computing 125, 109181, 2022
342022
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 Brazil
TT da Silva, R Francisquini, MCV Nascimento
Expert Systems with Applications 182, 115190, 2021
322021
Determining the trade-offs between data delivery and energy consumption in large-scale WSNs by multi-objective evolutionary optimization
M Jeske, V Rosset, MCV Nascimento
Computer Networks 179, 107347, 2020
322020
An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem
CPS Tautenhain, AP Barbosa-Povoa, B Mota, MCV Nascimento
European Journal of Operational Research 294 (1), 70-90, 2021
302021
A consensus graph clustering algorithm for directed networks
CP Santos, DM Carvalho, MCV Nascimento
Expert Systems with Applications 54, 121-135, 2016
292016
An adaptive iterated local search heuristic for the Heterogeneous Fleet Vehicle Routing Problem
VR Máximo, JF Cordeau, MCV Nascimento
Computers & Operations Research 148, 105954, 2022
262022
GA-LP: A genetic algorithm based on Label Propagation to detect communities in directed networks
R Francisquini, V Rosset, MCV Nascimento
Expert Systems with Applications 74, 127-138, 2017
262017
A kernel search to the multi-plant capacitated lot sizing problem with setup carry-over
DM Carvalho, MCV Nascimento
Computers & Operations Research 100, 43-53, 2018
252018
A graph clustering algorithm based on a clustering coefficient for weighted graphs
MCV Nascimento, AC Carvalho
Journal of the Brazilian Computer Society 17, 19-29, 2011
252011
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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