Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Arruda, Edilson"'
This paper presents the Random-Key Optimizer (RKO), a versatile and efficient stochastic local search method tailored for combinatorial optimization problems. Using the random-key concept, RKO encodes solutions as vectors of random keys that are subs
Externí odkaz:
http://arxiv.org/abs/2411.04293
Many countries have experienced at least two waves of the COVID-19 pandemic. The second wave is far more dangerous as distinct strains appear more harmful to human health, but it stems from the complacency about the first wave. This paper introduces
Externí odkaz:
http://arxiv.org/abs/2206.13910
This paper introduces a new multi-strain epidemic model with reinfection and cross-immunity to provide insights into the resurgence of the COVID-19 epidemic in an area with reportedly high seroprevalence due to a largely unmitigated outbreak: the sta
Externí odkaz:
http://arxiv.org/abs/2106.15928
Autor:
Arruda, Edilson F., Alexandre, Rodrigo e Alvim, Fragoso, Marcelo D., val, João B. R. do, Thomas, Sinnu S.
In this paper we propose a novel SEIR stochastic epidemic model. A distinguishing feature of this new model is that it allows us to consider a set up under general latency and infectious period distributions. To some extent, queuing systems with infi
Externí odkaz:
http://arxiv.org/abs/2102.08213
This work introduces a novel epidemiological model that simultaneously considers multiple viral strains, reinfections due to waning immunity response over time and an optimal control formulation. This enables us to derive optimal mitigation strategie
Externí odkaz:
http://arxiv.org/abs/2101.08137
Autor:
Zhigljavsky, Anatoly, Whitaker, Roger, Fesenko, Ivan, Kremnizer, Kobi, Noonan, Jack, Harper, Paul, Gillard, Jonathan, Woolley, Thomas, Gartner, Daniel, Grimsley, Jasmine, de Arruda, Edilson, Fedorov, Val, MBE, Tom Crick
Coronavirus COVID-19 spreads through the population mostly based on social contact. To gauge the potential for widespread contagion, to cope with associated uncertainty and to inform its mitigation, more accurate and robust modelling is centrally imp
Externí odkaz:
http://arxiv.org/abs/2004.01991
Autor:
Arruda, Edilson F., Alexandre, Rodrigo e A., Fragoso, Marcelo D., do Val, João B.R., Thomas, Sinnu S.
Publikováno v:
In ISA Transactions September 2023 140:121-133
Publikováno v:
In Research in Transportation Business & Management December 2022 45 Part C
Autor:
Brice, Syaribah Noor, Harper, Paul, Crosby, Tom, Gartner, Daniel, Arruda, Edilson, England, Tracey, Aspland, Emma, Foley, Kieran
Publikováno v:
Journal of Health Organization and Management, 2021, Vol. 35, Issue 9, pp. 121-139.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JHOM-05-2020-0192
Autor:
Arruda, Edilson Fernandes de
Publikováno v:
Repositório Institucional da UnicampUniversidade Estadual de CampinasUNICAMP.
Orientador: João Bosco Ribeiro do Val
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-08-07T09:08:47Z (GMT). No. of bitstreams: 1 Arruda_EdilsonFerna
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-08-07T09:08:47Z (GMT). No. of bitstreams: 1 Arruda_EdilsonFerna
Externí odkaz:
http://repositorio.unicamp.br/jspui/handle/REPOSIP/260841