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Carlos Eduardo de Andrade
Researcher at AT&T Labs
Publications - 26
Citations - 372
Carlos Eduardo de Andrade is an academic researcher from AT&T Labs. The author has contributed to research in topics: Integer programming & Genetic algorithm. The author has an hindex of 11, co-authored 26 publications receiving 249 citations. Previous affiliations of Carlos Eduardo de Andrade include Georgia Institute of Technology & AT&T.
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Journal ArticleDOI
The Multi-Parent Biased Random-Key Genetic Algorithm with Implicit Path-Relinking and its real-world applications
Carlos Eduardo de Andrade,Rodrigo F. Toso,José Fernando Gonçalves,José Fernando Gonçalves,Mauricio G. C. Resende,Mauricio G. C. Resende +5 more
TL;DR: The BRKGA-MP-IPR is a variant of the Biased Random-Key Genetic Algorithm that employs multiple (biased) parents to generate offspring instead of the usual two, and is hybridized with a novel, implicit path-relinking local search procedure, operating over the standard unit hypercube.
Journal ArticleDOI
Minimizing flowtime in a flowshop scheduling problem with a biased random-key genetic algorithm
TL;DR: Computational experiments show the efficiency of proposed BRKGA, in addition to identify lower and upper bounds, as well as some optimal values, among the solutions.
Journal ArticleDOI
Heuristics for a hub location-routing problem
Mauro Cardoso Lopes,Carlos Eduardo de Andrade,Thiago Alves de Queiroz,Mauricio G. C. Resende,Flávio Keidi Miyazawa +4 more
TL;DR: Computational experiments were conducted on several benchmark instances of routing problems and show that the heuristics are effective on medium to large‐sized instances, while the branch‐and‐cut algorithm solves small to medium sized problems to optimality.
Proceedings ArticleDOI
Connected cars in cellular network: a measurement study
Carlos Eduardo de Andrade,Simon D. Byers,Vijay Gopalakrishnan,Emir Halepovic,David Poole,Lien K. Tran,Christopher Volinsky +6 more
TL;DR: This measurement study reveals that connected cars have distinct sets of characteristics, including those similar to regular smartphones, but also some that belong to neither type, and these insights are invaluable in understanding and modeling connected cars in a cellular network and in designing strategies to manage their data demand.
Journal ArticleDOI
Energy use and carbon dioxide emissions assessment in the lifecycle of passenger rail systems: the case of the Rio de Janeiro Metro
TL;DR: In this article, the authors assessed the energy used and the emissions produced and avoided in the lifecycle of a new line of the metro network in Rio de Janeiro, built as a requirement for hosting the Olympic Games in 2016.