The aim of the current study is to develop a numerical tool that is capable of achieving an optimum shape and design of hyperbolic cooling towers based on coupling a non-linear finite element model developed in-house and a genetic algorithm optimization technique. The objective function is set to be the minimum weight of the tower. The geometric modeling of the tower is represented by means of ...

ABSTRACT: Data driven decision methods generated from analysis or experiments are currently developing a large amount of interest in the machine learning community. It is of interest to develop automated methods to infer from data and ensure judicious decisions are based on information provided by data. Computational efficiency, predictive generalization and statistical efficiency are the main ...

A successful ∆Σ converter design at a systemlevel implies a good understanding of the performance degrading nonidealities of the building blocks. An overview of these nonidealities is given in this paper together with an approach to optimally select the best suited topology for a certain set of performance requirements (dynamic range, signal bandwidth) based on a relative power merit. A dedicat...