In this study, the performance of an irreversible regenerative Brayton cycle is sought through power maximizations using finite-time thermodynamic concept in finite-size components. Optimizations are performed using a genetic algorithm. In order to take into account the finite-time and finite-size concepts in the current problem, a dimensionless mass-flow rate parameter is used to deploy ti...

Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control parameter optimization. We enhance this process by incorporating a neural network for tness evaluation. This neural network is trained to learn the complex interactions of the genetic algorithm control parameters and i...

Dynamic parameter design introduced by Taguchi (1987) is one of the most important tool in quality engineering. It is also known as parameter design in signal-response systems (Miller and Wu, 1996; Wu and Hamada, 2000, chapter 11). The name suggests that the interest lies in a signal-response relationship rather than a single value of the response. Taguchi’s approach to dynamic parameter design...

Tandem-L is a satellite mission being currently studied at DLR. It foresees the deployment of two L-band SAR platforms that will fly in close formation enabling bistatic operations. The mission is intended to serve a number of different science objectives with applications in the lithosphere, biosphere and cryosphere. The variety of applications and their competition for the use of the system r...

Abstract. Performance predictions based on design documents aim at improving the quality of software architectures. In component-based architectures, it is difficult to specify the performance of individual components, because it depends on the deployment context of a component, which may be unknown to its developers. The way components are used influences the perceived performance, but most pe...