The objective of the paper is to present an open source environment to perform the design,
simulation (Gmsh, GetDP) and optimization (OpenOpt) of electrical machines. The design of …

This paper presents a multiobjective optimization using genetic programming (GP). In this
method, an analysis model is regarded as a tree structure. This tree structure is divided into …

Abstract Automated Optimal Design (AOD) of electromagnetic devices turns out to be a task
of increasing significance in the field of electrical engineering. Often the direct relation …

A new adaptive model based optimisation (AMBO) technique, particularly suitable for the
optimisation of electrical motor design, has been proposed in this paper. It is based on an …

The purpose of this paper is to focus on multiobjective optimization methods that are suitable
for industrial electromagnetic design. In particular, a multiobjective optimization procedure is …

This paper proposes a new global optimization approach for electric machine design
problems. The algorithm uses an error function between the actual objective function, at a …

In this paper an attempt at devising an efficient strategy for solving many-objective
optimization problems through objective space reduction has been made. An approach …

The paper deals with a comparison between different multi-objective optimisation
algorithms, namely Adaptive Pareto Algorithm (APA), Genetic Algorithm (GA) and Parameter …

Application of modern mathematical optimization has become an important tool for the
design of permanent magnet machines. This paper focuses on identification of particular …

An electromagnetic actuator with nonlinear structural parts is modelled and optimized. The
aim of the optimization is to obtain a flat static characteristic and reach the highest possible …