COMPEL - The international journal for computation and mathematics in electrical and electronic engineering: Volume 41 Issue 6

Guest editorial: Introduction to the special issue 16th International Workshop on OIPE

Marcin Ziolkowski

Optimal shape design of a class of permanent magnet motors in a multiple-objectives context

Paolo Di Barba, Maria Evelina Mognaschi, Lidija Petkovska, Goga Vladimir Cvetkovski

This paper aims to deal with the optimal shape design of a class of permanent magnet motors by minimizing multiple objectives according to an original interpretation of Pareto…

Heuristic optimization applied to ANN training for predicting renewable energy sources production

Gianmarco Lorenti, Ivan Mariuzzo, Francesco Moraglio, Maurizio Repetto

This paper aims to compare stochastic gradient method used for neural network training with global optimizer without use of gradient information, in particular differential…

An optimization-based methodology to design waveguides with metamaterial walls

Ayoub Bellouch, Amine El Alami, Frederic Messine, Nathalie Raveu

The purpose of this sudy is to provide a complete optimization-based methodology to design waveguides with metamaterial walls. The present methodology is based on optimization…

Multiobjective optimization based on polynomial chaos expansions in the design of inductive power transfer systems

Yao Pei, Lionel Pichon, Mohamed Bensetti, Yann Le Bihan

The purpose of this study is to decrease the computation time that the large number of simulations involved in a parametric sweep when the model is in a three-dimensional…

Shape optimization of synchronous reluctance motor using sensitivity information for multiple objective functions

Hiroki Shigematsu, Shinji Wakao, Hiroaki Makino, Katsutoku Takeuchi, Makoto Matsushita

This paper aims to further improve the efficiency of multi-objective optimization design of synchronous reluctance motors (SynRMs) using the level set (LS) method, which has the…

Including greenhouse gas emissions and behavioural responses in the optimal design of PV self-sufficient energy communities

Sacha Hodencq, Jonathan Coignard, Nana Kofi Twum-Duah, Lucas Hajiro Neves Mosquini

This paper aims to consider both the greenhouse gas (GHG) emissions and behavioural response in the optimal sizing of solar photovoltaic systems (PV modules and batteries) for…

On the interaction between the design and operation under uncertainties of a simple distributed energy system

Hugo Radet, Bruno Sareni, Xavier Roboam

The purpose of this study is toward a better understanding of the interplay between the design and the operation under uncertainties of a simple distributed energy system (DES)…

Obtaining the most exact Jacobian of the time modelling of power electronics structures for gradient-based optimisations

Laurent Gerbaud, Zié Drissa Diarra, Herve Chazal, Lauric Garbuio

The paper aims to deal with the exact computation of the Jacobian of a time criteria from a numerical simulation of power electronics structures, for the sizing by gradient-based…

Topology optimization in magnetic shield design by using density method in combination with CNN

Rie Isshiki, Ryota Kawamata, Shinji Wakao, Noboru Murata

The density method is one of the powerful topology optimization methods of magnetic devices. The density method has the advantage that it has a high degree of freedom of shape…

Deep learning as a tool for inverse problems resolution: a case study

Sami Barmada, Alessandro Formisano, Dimitri Thomopulos, Mauro Tucci

This study aims to investigate the possible use of a deep neural network (DNN) as an inverse solver.