Two powerful and versatile code packages (Agros Suite and Ārtap) are presented for design
and optimization of technical devices and systems. Agros Suite represents an environment …

The main goal of the Artap project is to provide an extensive infrastructure for robust design
optimization, where usually many different numerical solvers have to be used together and …

Induction motor design requires making numerous tradeoffs, especially when including
electromagnetic noise criterion besides usual criteria like efficiency and cost. Moreover …

Active brake control systems are able to use more accurate control designs on the real-time
knowledge of wheel slip such as tire braking forces and external momentums. A multi …

Recent advances in the field of Neural Architecture Search (NAS) have made it possible to
develop state-of-the-art deep learning systems without requiring extensive human expertise …

The aim of this paper is to study the problem of sequencing a set of vehicles within an
industrial environment considering the assembly shop objectives, but also the objectives of …

Portfolio diversification is one of the most effective ways to minimize investment risk.
Individuals and fund managers aim to create a portfolio of assets that not only have high …

The sequential quadratic programming and genetic algorithms are finely tuned on the
optimal design of a brushless DC wheel motor. Combining both methods, a hybrid approach …

In this work, we propose a multi-perspective framework of analysis of critical infrastructures
(CIs) with respect to supply service, topology and controllability. The framework enables …

Packing and cutting problems, which dealt with filling up a space of known dimension with
small pieces, have been an attractive research topic to both industry and academia …