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Synthesis, inverse problems and optimization in computational electromagnetics
Author(s) -
Russenschuck S.
Publication year - 1996
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/(sici)1099-1204(199601)9:1/2<45::aid-jnm226>3.0.co;2-k
Subject(s) - electromagnetics , electromagnetism , magnet , inverse problem , superconducting magnet , computer science , genetic algorithm , electromagnetic coil , optimization problem , inverse , mathematical optimization , mathematics , algorithm , engineering , physics , electronic engineering , mechanical engineering , electrical engineering , mathematical analysis , geometry , quantum mechanics
The paper gives an overview on mathematical optimization techniques specially suited to problems in electromagnetism. It is described how efficient optimization procedures consist of decision making, treatment of non‐linear constraints, and an algorithm for minimizing the objective function. The optimization of a rectangular waveguide branching, a permanent magnet synchronous machine, and the iron cross‐section of a superconducting magnet are given as examples. Optimization routines are used for the tracing of manufacturing errors in the production of superconducting coils. Finally the application of a genetic algorithm to a dipole coil design is discussed as an example for field synthesis.

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