Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Luiz Leduíno de Salles Neto"'
Autor:
Luiz Leduíno de Salles Neto, Camila Bertini Martins, Antônio Augusto Chaves, Thais Cláudia Roma de Oliveira Konstantyner, Horacio Hideki Yanasse, Claudia Barbosa Ladeira de Campos, Ana Júlia de Oliveira Bellini, Renan Brito Butkeraites, Leonardo Correia, Igor Luciano Magro, Fernando dos Santos Soares
Publikováno v:
Epidemiologia e Serviços de Saúde, Vol 29, Iss 4 (2020)
Resumo Frente à necessidade de gerenciamento e previsão do número de leitos de unidades de terapia intensiva (UTIs) para pacientes graves de COVID-19, foi desenvolvido o Forecast UTI, um aplicativo de livre acesso, que permite o monitoramento de i
Externí odkaz:
https://doaj.org/article/4fe16c4eb6184b098f454ee48a05daf4
Publikováno v:
Ingeniare: Revista Chilena de Ingeniería, Vol 16, Iss 3, Pp 421-427 (2008)
This study presents a new mathematical model and a Greedy Randomized Adaptive Search Procedure (GRASP) meta-heuristic to solve the ordered cutting stock problem. The ordered cutting stock problem was recently introduced in literature. It is appropria
Externí odkaz:
https://doaj.org/article/f7eece30f52541d7a3b7329783c24c58
Publikováno v:
International Journal of Business Intelligence and Systems Engineering. 1:261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b1e3997d14c67e334d4e4ededc0732
https://doi.org/10.1504/ijbise.2019.098924
https://doi.org/10.1504/ijbise.2019.098924
Autor:
Julliany Sales Brandão, Alessandra Martins Coelho, João Flávio V. Vasconcellos, Luiz Leduíno de Salles Neto, André Vieira Pinto
This paper presents the application of the one new approach using Genetic Algorithm in solving One-Dimensional Cutting Stock Problems in order to minimize two objectives, usually conflicting, i.e., the number of processed objects and setup while simu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::251950c2219efbd292e5c956d03d2c06
https://doi.org/10.4018/978-1-4666-3628-6.ch003
https://doi.org/10.4018/978-1-4666-3628-6.ch003
