A hybrid methodology for fuzzy optimization of electromagnetic devices

Frederico G. Guimarães*, Felipe Campelo, Rodney R. Saldanha, Jaime A. Ramírez

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review


    Typical formulations for fuzzy optimization utilize piecewise linear membership functions, which introduces regions of no differentiability and prevents the employment of deterministic methods. We propose the utilization of continuously differentiable membership functions, which permit the use of gradient-based methods. We present a general expression for the gradient of the decision degree function. Then, a stochastic method can be used to find a good starting point for the deterministic technique, in a hybrid approach. The formulation is applied to the optimization of an electrostatic micromotor. The average torque is maximized subject to a fuzzy constraint for the torque ripple. The results show the validity of the methodology in electromagnetic design.

    Original languageEnglish
    Pages (from-to)1744-1747
    Number of pages4
    JournalIEEE Transactions on Magnetics
    Issue number5
    Publication statusPublished - 1 May 2005


    • Electromagnetic design
    • Fuzzy optimization


    Dive into the research topics of 'A hybrid methodology for fuzzy optimization of electromagnetic devices'. Together they form a unique fingerprint.

    Cite this