© 2010

Multiobjective Shape Design in Electricity and Magnetism


Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 47)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Paolo Di Barba
    Pages 1-4
  3. Paolo Di Barba
    Pages 5-25
  4. Paolo Di Barba
    Pages 27-40
  5. Paolo Di Barba
    Pages 41-62
  6. Paolo Di Barba
    Pages 93-101
  7. Paolo Di Barba
    Pages 103-135
  8. Paolo Di Barba
    Pages 137-146
  9. Paolo Di Barba
    Pages 147-155
  10. Paolo Di Barba
    Pages 157-164
  11. Paolo Di Barba
    Pages 165-173
  12. Paolo Di Barba
    Pages 175-184
  13. Paolo Di Barba
    Pages 185-202
  14. Paolo Di Barba
    Pages 203-222
  15. Paolo Di Barba
    Pages 223-243
  16. Paolo Di Barba
    Pages 271-286
  17. Paolo Di Barba
    Pages 287-290
  18. Back Matter
    Pages 291-313

About this book


Multiobjective Shape Design in Electricity and Magnetism is entirely focused on electric and magnetic field synthesis, with special emphasis on the optimal shape design of devices when conflicting objectives are to be fulfilled. Direct problems are solved by means of finite-element analysis, while evolutionary computing is used to solve multiobjective inverse problems. This approach, which is original, is coherently developed throughout the whole manuscript. The use of game theory, dynamic optimisation, and Bayesian imaging strengthens the originality of the book.

Covering the development of multiobjective optimisation in the past ten years, Multiobjective Shape Design in Electricity and Magnetism is a concise, comprehensive and up-to-date introduction to this research field, which is growing in the community of electricity and magnetism. Theoretical issues are illustrated by practical examples. In particular, a test problem is solved by different methods so that, by comparison of results, advantages and limitations of the various methods are made clear.

Topics covered include:

  • Maxwell equations and boundary-value problems;
  • Paretian optimality;
  • static optimisation;
  • game theory;
  • dynamic optimisation;
  • Bayesian imaging.

Multiobjective Shape Design in Electricity and Magnetism collects the long-lasting experience matured by the author during his research activity both at the university and in cooperation with industrial laboratories.


Electric And Magnetic Field Synthesis Evolutionary Computing Finite-Element Modelling Of Electric And Magnetic Devices HTS Magnetic field Maxwell equation Multiobjective Optimisation In Electricity And Magnetism Optimal Shape Design

Authors and affiliations

  1. 1.Dipto. ElettronicaUniversità PaviaPaviaItaly

About the authors

Paolo DI BARBA graduated in Electronic Engineering (MSc) in the year 1987-1988 at the University of Pavia, Italy. He obtained the PhD degree in Electrical Engineering from the Technical University of Lodz, Poland, in the year 2001-2002. At the time being, he is a full professor of electrical engineering (tenure position) at the University of Pavia, Faculty of Engineering. He is a member of the steering committees of some international symposia in the area of computational electromagnetism, in particular: Intl Symposium on Electromagnetic Fields in Electrical Engineering (ISEF), Workshop on Optimization and Inverse Problems in Electromagnetism (OIPE).

The scientific interests of the author include the computer-aided design of electric, magnetic and electromechanical devices with special emphasis on the methodologies for multi-objective optimisation in electromagnetism. He is author of more than 100 papers, either presented to international conferences or published in international journals; relevant applications concern electrical power engineering as well as biomedical engineering.

Bibliographic information

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"The intention of this book is to try to dispel some of the myths surrounding computer-based optimisation. Professor Di Barba provides an up-to-date and comprehensive overview of optimisation techniques related to electromagnetic devices and systems in a logical and consistent way. An understanding of the contents of this book can help a designer to use the computational resources that are now available in a much more effective manner."
David A. Lowther Ph.D., AKC, FCAE, FIET
James McGill Professor
Department of Electrical and Computer Engineering
McGill University, Montreal