USE OF GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATION IN THE ESTIMATION OF KINETIC PARAMETERS OF GREEN COCONUT BIOMASS

Use of Genetic Algorithm and Particle Swarm Optimization in the Estimation of Kinetic Parameters of Green Coconut Biomass

The development of more economically and energy-efficient processes for the sustainable production of fuels and chemicals is becoming increasingly necessary.In this context, it is relevant to understand the behaviour 132 of thermal degradation of different biomasses in oxygen free atmosphere to investigate the breakdown of polymer chains, which can

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Temporal Dimension of Crisis

The current study aims Cheese Baker to reflect on one of the dimensions of crisis that is a temporal issue, expensive to history and fundamental to human society, involving deeper aspects, related to present, past, to inheritance and memories , but also to the projects of the future.By means of bibliographical contribution, some notes about the rel

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The Impact of Options on Investment Portfolios in the Short-Run and the Long-Run, with a Focus on Downside Protection and Call Overwriting

In this article, we analyse the impact of the introduction of options on an investment portfolio.Our first objective is to derive closed-form formulae for the standard measures of portfolio efficiency: risk premium, risk, Sharpe ratio, and beta, of any portfolio containing any combination of Cheese Baker options.Using these formulae on three exampl

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Exponents for Hamiltonian paths on random bicubic maps and KPZ

We evaluate the configuration exponents of various ensembles of Hamiltonian paths drawn on random planar bicubic maps.These exponents are estimated from the extrapolations of exact enumeration results for finite sizes and compared with their theoretical predictions based on the Knizhnik, Polyakov and Zamolodchikov (KPZ) relations, as applied to the

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