Skip to main content
SpringerLink
Log in

Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach

  • Conference paper
  • First Online:
Book cover Evolutionary Multi-Criterion Optimization (EMO 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1993))

Included in the following conference series:

Abstract

When tackling the multicriteria optimization of a device in electrical engineering, the exhaustive sampling of Pareto optimal front implies the use of complex and time-consuming algorithms that are unpractical from the industrial viewpoint. In several cases, however, the accurate identification of a few nondominated solutions is often sufficient for the design purposes. An evolutionary methodology of lowest order, dealing with a small number of individuals, is proposed to obtain a cost-effective approximation of non-dominated solutions. In particular, the algorithm assigning the fitness enables the designer to pursue either shape or performance diversity of the device. The optimal shape design of a shielded reactor, based on the optimization of both cost and performance of the device, is presented as a real-life case study.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. E. Zitzler, E., Thiele, L.: Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Trans. Evol. Comp., Vol. 3 no. 4, pp. 257–271, 1999

    Article  Google Scholar 

  2. Srinivans, N., Deb, K.: Multiobjective Optimization using Non-dominated Sorting in Genetic Algorithms. Evol. Comput., Vol. 2 no. 3, pp. 221–248, 1994

    Article  Google Scholar 

  3. [3] Deb, K.: Multi-Objective Algorithm: Problem Difficulties and Construction of Test Problems. Technical Report no. CI-60/98, Department of Computer Science, XI University of Dortmund GE, 1998

    Google Scholar 

  4. Deb, K.: Non-linear Goal Programming Using Multi-Objective Genetic Algorithm. Technical Report no. CI-60/98, Department of Computer Science, XI University of Dortmund GE, 1998

    Google Scholar 

  5. Rahmat-Samii, Y., Michielseen, E. (ed.s): Electromagnetic Optimization by Genetic Algorithms. John Wiley & Sons, USA 1999

    MATH  Google Scholar 

  6. Goldberg, D. E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, USA 1989

    MATH  Google Scholar 

  7. Kim, M. K., Lee, C., Jung, H.: Multiobjective Optimal Design of Three-phase Induction Motor using Improved Evolution Strategy. IEEE Trans. Mag., vol. 34, no. 5, pp. 2980–2983, 1998

    Article  Google Scholar 

  8. Sereni, B., Krahenbuhl, L., Nicolas, A.: Niching Genetic Algorithm for Optimization in Electromagnetics (parts I and II). IEEE Trans. Mag., vol. 34, no. 5, pp. 2984–2987, 1998

    Article  Google Scholar 

  9. Di Barba, P., Farina, M., Savini, A.: Vector Shape Optimization of an Electrostatic Micromotor using a Genetic Algorithm. COMPEL, vol.19, no.12, pp. 576–581, 2000

    MATH  Google Scholar 

  10. Battistetti, M., Di Barba, P., Dughiero, F., Farina, M., Lupi, S., Savini, A.: Multiobjective Design Optimisation of an Inductor for Surface Heating: an Innovative Approach. Presented at CEFC2K, June 4–7, 2000, Milwaukee (USA). Submitted to IEEE Trans. on Magnetics

    Google Scholar 

  11. Di Barba, P., Farina, M., Savini, A.: An Improved Technique for Enhancing Diversity in Pareto Evolutionary Optimization of Electromagnetic Devices. Presented at 9th Intl IGTE Symposium, September 11–13, 2000, Graz (Austria). Submitted to COMPEL

    Google Scholar 

  12. Di Barba, P.: A Fast Evolutionary Method for Identifying Non-inferior Solutions in Multicriteria Shape Optimization of a Shielded Reactor. Presented at 6th Intl OIPE Workshop, September 25–27, 2000, Torino (Italy). Submitted to COMPEL

    Google Scholar 

  13. MagNet Version 6, Getting Started Guide, Infolytica Corporation, 1999. http://www.infolytica.com/

  14. Miettinen, K. M. Nonlinear Multiobjective Optimization Kluwer Academic Publishers

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of Pavia, I-27100, Pavia, Italy

    P. Di Barba, M. Farina & A. Savini

Authors
  1. P. Di Barba
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Farina
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Savini
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, ETH Zentrum, Gloriastrasse 35, 8092, Zurich, Switzerland

    Eckart Zitzler  & Lothar Thiele  & 

  2. Department of Mechanical Engineering Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, UP 208 016, Kanpur, India

    Kalyanmoy Deb

  3. Electrical Engineering Department,Computer Science Section Av.Instituto Politecnico Nacional No.2508, CINVESTAV-IPN, Col.San Pedro Zacatenco, 07300, Mexico City, Mexico

    Carlos Artemio Coello Coello

  4. Department of Computer Science, University of Reading, P.O.Box 225, Reading RG6 6AY, Whiteknights, UK

    David Corne

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Di Barba, P., Farina, M., Savini, A. (2001). Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach. In: Zitzler, E., Thiele, L., Deb, K., Coello Coello, C.A., Corne, D. (eds) Evolutionary Multi-Criterion Optimization. EMO 2001. Lecture Notes in Computer Science, vol 1993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44719-9_39

Download citation

  • DOI: https://doi.org/10.1007/3-540-44719-9_39

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41745-3

  • Online ISBN: 978-3-540-44719-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation