The system-by-design (SbD) is an emerging engineering framework for the optimization-
driven design of complex electromagnetic (EM) devices and systems. More specifically, the …

The self-organizing migrating algorithm (SOMA) is a population-based meta-heuristic that
belongs to swarm intelligence. In the last 20 years, we can observe two main streams in the …

Almost every optimization problem can be viewed as multi-objective one. Multi-objective
problems with conflicting objectives lead to so called Pareto front which expresses trade-off …

In this work, the pH neutralization process is described by a neural network Wiener (NNW)
model. A nonlinear Model Predictive Control (NMPC) is established for the considered …

Solving engineering design and resources optimisation via multi-objective evolutionary
algorithms has attracted much attention in the last few years. In this study, an improved Self …

The design of a simulation framework that allows for interaction with multiple computational
engines through a single interface is presented. The framework was designed, not only to …

Artificial intelligence and its subparts (like evolutionary algorithms, machine learning, ...,…)
are search methods that can be used for solving optimization problems. A particular class of …

The high-torque assisted synchronous reluctance machine could be still considered, based
on the relatively low amount of publications, as a rather unknown area of research. This and …

Abstract Design of EM components is usually very demanding task. It comprises setting of
large number of variables. With increasing number of variables, the number of possible …