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Population Balance Discretization for Growth, Attrition, Aggregation, Breakage and Nucleation
(Elsevier, 2015-08-28)
This paper presents a new discretization method to solve the population balance equation (PBE) for batch and unsteady/steady-state continuous perfectly-mixed systems. The numerical technique is valid for any size change ...
Characterization Of Particle Size Of Polydispersed Biomass By Mechanical SievingCaracterização Granulométrica De Biomassa Polidispersa Pelo Método De Peneiramento Mecânico
(Sociedade Brasileira de Engenharia Agricola, 2016)
Intertechnique comparisons for nanoparticle size measurements and shape distribution
(American Society of Civil Engineers, 2016-01)
There are a number of techniques for measuring and characterization of nanoparticle (NP) size. One of the main problems in the field of NP analysis is in producing reliable and reproducible characterization data for ...
Global optimization using a genetic algorithm with hierarchically structured population
(Elsevier Science BvAmsterdamHolanda, 2014)
FP-AK-QIEAR-R in protein folding application
(Institute of Electrical and Electronics Engineers Inc., 2017)
There are many Evolutionary Algorithms which main features are: population, evolutionary operations (crossover, mate, mutation and others). Most of them are based on randomness and follow a criteria using fitness like ...
The role of Mab as a source for the mu ring of Uranus (Research Note)
(Edp Sciences S A, 2012-07-01)
Context. We previously analysed how the solar radiation force combined with the planetary oblateness changes the orbital evolution of a sample of dust particles located at the secondary ring system of Uranus. Both effects ...
Considerations on the crystallization modeling: Population balance solution
(Pergamon-elsevier Science LtdOxfordInglaterra, 2007)
Modeling and experimental analysis of polydispersed particles coating in spouted bed
(Elsevier Science SaLausanneSuíça, 2006)
FP-AK-QIEA-R for Multi-Objective optimization
(Association for Computing Machinery, 2016)
The Evolutionary Algorithms have main features like: population, evolutionary operations (crossover, mate, mutation and others). Most of them are based on randomness and follow a criteria using fitness like selector. The ...
Global optimization using a genetic algorithm with hierarchically structured population
(Elsevier B.V., 2014-05-01)
This paper applies a genetic algorithm with hierarchically structured population to solve unconstrained optimization problems. The population has individuals distributed in several overlapping clusters, each one with a ...