65 citations · 131 across the 9 of their papers we have counts for
9 papers
AILS-II: An Adaptive Iterated Local Search Heuristic for the Large-scale Capacitated Vehicle Routing Problem
Vinícius R. Máximo, Jean-François Cordeau, Mariá C. V. Nascimento
A recent study on the classical Capacitated Vehicle Routing Problem (CVRP) introduced an adaptive version of the widely used Iterated Local Search (ILS) paradigm, hybridized with a…
Community-based anomaly detection using spectral graph filtering
Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento
Several applications have a community structure where the nodes of the same community share similar attributes. Anomaly or outlier detection in networks is a relevant and widely st…
An Adaptive Iterated Local Search Heuristic for the Heterogeneous Fleet Vehicle Routing Problem
Vinícius R. Máximo, Jean-François Cordeau, Mariá C. V. Nascimento
The Heterogeneous Fleet Vehicle Routing Problem (HFVRP) is an important variant of the classical Capacitated Vehicle Routing Problem (CVRP) that aims to find routes that minimize t…
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
Tiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento
In 2020, Brazil was the leading country in COVID-19 cases in Latin America, and capital cities were the most severely affected by the outbreak. Climates vary in Brazil due to the t…
Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup
Desiree M. Carvalho, Mariá C. V. Nascimento
This paper approaches the integrated lot sizing and scheduling problem (ILSSP), in which non-identical machines work in parallel with non-triangular sequence-dependent setup costs…
A hybrid adaptive Iterated Local Search with diversification control to the Capacitated Vehicle Routing Problem
Vinícius R. Máximo, Mariá C. V. Nascimento
Metaheuristics are widely employed to solve hard optimization problems, like vehicle routing problems (VRP), for which exact solution methods are impractical. In particular, local…
An analysis of community structure in Brazilian political topic-based Twitter networks
Camila P. S. Tautenhain, Rodrigo Francisquini, Mariá C. V. Nascimento
Online social networks such as Twitter are important platforms for spreading public opinion on a variety of subjects. The classification of users through the analysis of their post…
An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem
Camila P. S. Tautenhain, Ana Paula Barbosa-Povoa, Bruna Mota +1
Sustainable Supply Chain (SSC) management aims at integrating economic, environmental and social goals to assist in the long-term planning of a company and its supply chains. There…
An ensemble based on a bi-objective evolutionary spectral algorithm for graph clustering
Camila P. S. Tautenhain, Mariá C. V. Nascimento
Graph clustering is a challenging pattern recognition problem whose goal is to identify vertex partitions with high intra-group connectivity. This paper investigates a bi-objective…