1,954 research outputs found

    Monte Carlo Simulations of Some Dynamical Aspects of Drop Formation

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    In this work we present some results from computer simulations of dynamical aspects of drop formation in a leaky faucet. Our results, which agree very well with the experiments, suggest that only a few elements, at the microscopic level, would be necessary to describe the most important features of the system. We were able to set all parameters of the model in terms of real ones. This is an additional advantage with respect to previous theoretical works.Comment: 7 pages (Latex), 6 figures (PS) Accepted to publication in Int. J. Mod. Phys. C Source Codes at http://www.if.uff.br/~arlim

    Crescimento de mudas de genótipos de mangabeira (Hancornia speciosa Gomes) em diferentes substratos.

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    O objetivo do trabalho foi avaliar efeitos de substratos no crescimento de mudas de genótipos de mangabeira (H. speciosa). O experimeto foi realizado em Teresina-PI, sob delineamento experimental em blocos casualizados, no arranjo fatorial 6 x 10, seis composições de substratos e dez genótipos de mangabeira, com três repetições

    Processo agroindustrial: elaboração de pasta de pequi.

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    bitstream/item/79957/1/PASTADEPEQUI.pd

    Causas infecciosas de problemas reprodutivos na produção de suínos.

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    bitstream/item/57975/1/CUsersPiazzonDocuments498.pd

    An application of Preference-Inspired Co-Evolutionary Algorithm to sectorization

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    Sectorization problems have significant challenges arising from the many objectives that must be optimised simultaneously. Several methods exist to deal with these many-objective optimisation problems, but each has its limitations. This paper analyses an application of Preference Inspired Co-Evolutionary Algorithms, with goal vectors (PICEA-g) to sectorization problems. The method is tested on instances of different size difficulty levels and various configurations for mutation rate and population number. The main purpose is to find the best configuration for PICEA-g to solve sectorization problems. Performancemetrics are used to evaluate these configurations regarding the solutions’ spread, convergence, and diversity in the solution space. Several test trials showed that big and medium-sized instances perform better with low mutation rates and large population sizes. The opposite is valid for the small size instances.info:eu-repo/semantics/acceptedVersio
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