R
Rafael Frederico Alexandre
Researcher at Universidade Federal de Ouro Preto
Publications - 8
Citations - 94
Rafael Frederico Alexandre is an academic researcher from Universidade Federal de Ouro Preto. The author has contributed to research in topics: Evolutionary algorithm & Channel allocation schemes. The author has an hindex of 5, co-authored 8 publications receiving 74 citations. Previous affiliations of Rafael Frederico Alexandre include Universidade Federal de Minas Gerais.
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Journal ArticleDOI
A comparison between cost optimality and return on investment for energy retrofit in buildings-A real options perspective
Sérgio Fernando Tadeu,Rafael Frederico Alexandre,António Tadeu,Carlos Henggeler Antunes,Nuno Simões,Patrícia Pereira da Silva +5 more
TL;DR: In this article, the authors considered a multi-objective optimization approach to identify the minimum global cost and primary energy needs of 154,000 combinations of energy efficiency measures, and the proposed model is solved by the NSGA-II multiobjective evolutionary algorithm.
Proceedings ArticleDOI
Using evolutionary algorithms for channel assignment in 802.11 networks
Marlon Paolo Lima,Thales B. Rodrigues,Rafael Frederico Alexandre,Ricardo H. C. Takahashi,Eduardo G. Carrano +4 more
TL;DR: Two evolutionary algorithms are proposed in this paper to handle with access point channel assignment in Wireless Local Area Network to minimize the maximum level of interference experienced by the users.
Journal ArticleDOI
A practical codification and its analysis for the generalized reconfiguration problem
Carlos Henrique Nogueira de Resende Barbosa,Carlos Henrique Nogueira de Resende Barbosa,Rafael Frederico Alexandre,Rafael Frederico Alexandre,João A. Vasconcelos +4 more
TL;DR: A reliable approach is proposed to deal properly with topology constraint enabling algorithm convergence toward optimal or quasi-optimal solutions for distribution reconfiguration problem, incorporating a new representation scheme which is immune to topologically unfeasible possibilities.
Journal ArticleDOI
LONSA: A labeling-oriented non-dominated sorting algorithm for evolutionary many-objective optimization
TL;DR: A new labeling-oriented algorithm is proposed in this paper to speed up the solution-to-front assignment by avoiding usual dominance tests and the associated methodology is carefully detailed to clearly explain how the classification of the solution set is successfully achieved.
Journal ArticleDOI
Multi-objective evolutionary algorithms for the truck dispatch problem in open-pit mining operations
TL;DR: This work presents multi-objective strategies for solving the problem of dynamically allocating a heterogeneous fleet of trucks in an open-pit mining operation, aiming at maximizing production and minimizing costs, subject to a set of operational and physical constraints.