The purpose of this work is to describe the application of Genetic Algorithms in the search of the best configuration of catenary riser systems in deep waters. Particularly, an optimization methodology based on genetic algorithms is implemented on a computer program, in order to seek an optimum geometric configuration for a steel catenary riser in a lazy-wave configuration. This problem is characterized by a very large space of possible solutions; the use of traditional methods is an exhaustive work, since there is a large number of variables and parameters that define this type of system. Genetic algorithms are more robust than the more commonly used optimization techniques. They use random choice as a tool to guide a search toward regions of the search space with likely improvements. Some differences such as the coding of the parameter set, the search from a population of points, the use of objective functions and randomized operators are factors that contribute to the robustness of a genetic algorithm and result in advantages over traditional techniques. The implemented methodology has as baseline one or more criteria established by the experience of the offshore engineer. The implementation of an intelligent methodology oriented specifically to the optimization and synthesis of riser configurations will not only facilitate the work of manipulating a huge mass of data, but also assure the best alternative between all the possible ones, searching in a much larger space of possible solutions than classical methods.
Objective: Describe the implementation of the Welcoming with Risk Classification in the Hospital São Paulo´s Emergency Department, as well as present its theoretical reference. The Protocol determines the waiting time for health treatment based on the severity of the patient's condition, and it is performed by a registered nurse. The Welcoming with Risk Classification strategy enables the organization of patient flow and better identification of patients, giving priority to patients with greater risks of death and health problems; offers information to citizens who seek Hospital São Paulo about the Brazilian public health system (SUS); shows the kind of healthcare and the type of patient that are present in the hospital (most of the patients could have sought other levels of care such as primary care). The implementation process generated subsidies for the discussion on the role of the HSP ED within SUS in the city of São Paulo. Keywords: Emergency medical services; Public health; Hospitals, teaching; Humanization of assistance RESumoObjetivo: Descrever o processo de implantação do Acolhimento com Classificação de Risco no Serviço de Urgência do Hospital São Paulo, bem como apresentar seu referencial teórico. O protocolo teve por objetivo determinar o tempo de espera pela atenção baseado na gravidade do paciente, e foi operacionalizado por uma enfermeira. A estratégia do Acolhimento com Classificação de Risco possibilita a organização do fluxo e a melhor identificação de pacientes, dando prioridade àqueles com risco de morte ou agravos à saúde; provê um momento de orientação aos cidadãos que procuram o HSP em relação ao SUS; torna evidente o tipo de assistência à saúde e de paciente presente no hospital (a maioria apresenta queixas de baixa e média complexidade, passíveis de resolução em unidades de menor complexidade). O processo de implementação desta estratégia trouxe subsídios para a discussão sobre o papel do Pronto-Socorro do HSP, dentro do SUS em São Paulo. Descritores: Serviços médicos de emergência; Saúde pública; Hospitais de ensino; Humanização da assistência RESumEnObjetivo: Describir el proceso de implantación de la Acogida con Clasificación de Riesgo en el Servicio de Emergencia del Hospital Sao Paulo, así como presentar su referencial teórico. El protocolo tuvo por objetivo determinar el tiempo de espera para la atención basada en la gravedad del paciente, y fue operacionalizado por una enfermera. La estrategia de la Acogida con Clasificación de Riesgo posibilita la organización del flujo y la mejor identificación de los pacientes, dando prioridad a aquellos con riesgo de muerte o gravedad de la salud; provee un momento de orientación a los ciudadanos que buscan el HSP en relación al SUS; se torna evidente el tipo de asistencia a la salud y de paciente presente en el hospital (la mayoría presenta quejas de baja y mediana complejidad, pasibles de resolución en unidades de menor complejidad). El proceso de implementación de esta estrategia trajo subsidios para la discusión sobre el papel del...
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