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(FTP2/05) Optimization of Tokamak Poloidal Field Configuration by Genetic Algorithms

S. Khorasani1)2), R. Amrollahi1), H. Minoo1)2), F. Dini1)2)
 
1) Department of Physics, KNT University of Technology, 322 Mirdamad, Tehran, Iran
2) Department of Plasma Physics, Nuclear Fusion Research Center, Atomic Energy Organization of Iran, Amirabad, Tehran, Iran

Abstract.  The design of the poloidal field system in tokamaks is a lengthy procedure due to functional dependence of design parameters on pre-assumed plasma parameters. Therefore changing an individual design parameter could in principle influence the overall design. This complicated task could easily lead to non-optimal final results. In the paper it is shown that genetic algorithms, as powerful optimization methods, are useful in approaching an optimal design. The work may be extended to the whole plasma scenario and magnetic configuration in other small and large scale systems.

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IAEA 2001