Industrial Design With Multiple Criteria: Shape Optimization of a Permanent-Magnet Generator

Authors :: Maria Evelina Mognaschi
P. Di Barba
Source :: IEEE Transactions on Magnetics. 45:1482-1485
Publication Year :: 2009
Publisher :: Institute of Electrical and Electronics Engineers (IEEE), 2009.
Abstract: The purpose of the paper is to demonstrate that the multicriteria formulation of an inverse problem fits well with current industrial electromagnetic design. The optimal shape design of a permanent-magnet (PM) generator is developed as the case study. Two well-known evolutionary algorithms, NSGA-II and MOESTRA, have been implemented and relevant results compared.

Subjects :: Mathematical optimization
Computer science
Industrial design
Magnet
Evolutionary algorithm
Computational electromagnetics
Shape optimization
Permanent magnet synchronous generator
Electrical and Electronic Engineering
Inverse problem
Multi-objective optimization
Evolutionary computation
Electronic, Optical and Magnetic Materials

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