Cerca risorse accademiche

Abstract The self-scaling VM-algorithms solves an unconstrained non-linear optimization problems by scaling the Hessian approximation matrix before it is updated at each iteration to avoid the possible large eigen-values...

The present paper evaluates the applicability of a new FIA system for COD determination. The new system, flow injection microwave solid phase extraction by means of activated carbon (FI-MW-SPE), consists of a digestion c...

The use of Local Search technique in combination with other methods is often an effective way for increasing the e ciency of a global optimization algorithm. In this paper we present an hybrid version that integrates Di ...

Sparse systems of equations are an essential part of real mod- els, being decisive in simulation or optimization. By increasing the prob- lems size or going closer to reality, these systems increase in complexity and siz...

Hyoscyamine, 6β-hydroxyhyoscyamine and scopolamine are anticholinergic agents that belong to the tropane alkaloids, a pharmacological important group of secondary metabolites. Hyoscyamine and scopolamine were historical...

Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version ...

Two powerful metaheuristics being used successfully since their creation for the resolution of optimization problems are Cellular Genetic Algorithm (cGA) and Particle Swam Optimization (PSO). Over the last years, interes...

En el presente trabajo se describen dos líneas de investigación en campo de las metaheurísticas. La primera, está relacionada a mecanismos avanzados de manejo de restricciones y a nuevas propuestas para la mejora del...

Clustering of short texts is an important research area because of its applicability in information retrieval and text mining. To this end was proposed CLUDIPSO, a discrete Particle Swarm Optimization algorithm to cluste...