1 Department of Electromechanical Engineering, Centre for Aerospace Science and Technologies, UBI, University of Beira Interior, Calçada Fonte do Lameiro, 6201-001 Covilhã, Portugal 2 Scientific Area of Mathematics, ESTGV, Polytechnic Institute of Viseu, Campus Politécnico, 3504-510 Viseu, Portugal 3 Department of Mathematics and Applications, School of Sciences, Centre of Physics, University o...

The first order design problem in geodesy is generalized here, to seek the network configuration that optimizes the precision of geophysical parameters. An optimal network design that satisfies intuitively appropriate criteria corresponds to minimizing the sum of logarithmic variances of eigenparameters. This is equivalent to maximizing the determinant of the design matrix, allowing for closed-...

There has been considerable interest on the “New Science” and its promises, but very few practical evidence has been presented to motivate the complex systems hype. However, it seems that the new approaches can give new insights. This paper shows how the new conceptual tools can help also in practical control engineering tasks as in optimization of parameters. Discussions here are closely relat...

A new opening cotton device used in detecting and eliminating foreign fibers of cotton was presented in this paper. It is the first time to propose that the multi-variable nonlinear constrained optimization algorithm should be applied to obtain parameter values of the tooth profile of the opening roller and feed rollers as well as their diameter and rotating speed values. This approach was used...

The present-day evolutionary multi-objective optimization (EMO) algorithms had a demonstrated history of evolution over the years. The initial EMO methodologies involved additional niching parameters which made them somewhat subjective to the user. Fortunately, soon enough parameter-less EMO methodologies have been suggested thereby making the earlier EMO algorithms unpopular and obsolete. In t...

in this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape optimization. to approach this aim the analytical formulas of secant stiffness matrix are presented. the models were validated and used to perform inve...

We introduce Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions. The method is straightforward to implement and is based on adaptive estimates of lower-order moments of the gradients. The method is computationally efficient, has little memory requirements and is well suited for problems that are large in terms of data and/or parameters. The method i...

Among the several non-conventional processes, electrical discharge machining (EDM) is the most widely and successfully applied for the machining of conductive parts. In this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. Hence, this technique could be employed to machine hard materials such as super allo...