Reconstruction of plasma current profile of tokamaks using combinatorial optimization techniques

IEEE Transactions on Plasma Science

Volumn 24, Issue 2, 1996, Pages 528-538

  Kishimoto, Maki ^a   Sakasai, Kaoru ^a   Ara, Katuyuki ^a   Fujita, Takaaki ^a   Suzuki, Yasuo ^a  

^a JAPAN ATOMIC ENERGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL MATHEMATICS; ELECTRIC CURRENT DISTRIBUTION; GENETIC ALGORITHMS; MAGNETIC FIELDS; MAGNETIC VARIABLES MEASUREMENT; NEURAL NETWORKS; OPTIMIZATION; PLASMAS; PROBLEM SOLVING;

COMBINATORIAL OPTIMIZATION; HOPFIELD NEURAL NETWORKS; MAGNETIC PROBLEMS; PLASMA CURRENT PROFILE; VACUUM VESSEL;

TOKAMAK DEVICES;

EID: 0030120917     PISSN: 00933813     EISSN: None     Source Type: Journal    
DOI: 10.1109/27.510019     Document Type: Article

References (15)

1. W. J. Dallas, "Pourier space solution to the magnctostatic imaging problem," Appl. Opt., vol. 24, no. 24. p. 4543, 1985.
2. H. Saotome, K. Kituta. and Y. Saito, "A formation of the inverse problems in magnetostatic fields and its application to a source position searching of the human eye fields," J. Appl. fhys., vol. 112-A, no. 4, p. 5830. 1993.
3. A. Ishiguro el ai, "A study of genetic algorithms' application to inverse problems in electromagnetics," in Nonlinear Phenomena in Electromagnetic Fields, Amsterdam: Elsevier, 1992, p. 52.
4. B. J. Roth el al, "Using a magnetrometer to image a two-dimensional current distribution." J. Appl. Phys., vol. 65, no. 1, p. 363, 1989.
5. I. Elshafiey, L. Udpa, and S. S. Udpa, "Solution of inverse problems in electromagnetics using Hopfield neural network," IEEE Trans. Magn., vol. 31, p. 852, 1995.
6. D. W. Swain and G. H. Neilson, "An efficient technique for magnetic analysis of noncircular, high-beta tokamak equilibria,'' Nucl. Fusion, vol. 22, no. 8, p. 1015, 1982.
7. L. L. Lao, H. St. John, R. D. Stanbaugh, an.d W. Pfeiffer, "Separation of ,3P and /; in tokamaks of noncircular cross section," Nucl Fusion, vol. 25, no. 10. p. 1421, 1985.
8. L. L. Lao, H. St. John, R. D. Stanbaugh, A. G. Kellman, and W. Pfeiffer, "Reconstruction of current profile parameters and plasma shapes in tokamaks,'' Nucl. Fusion, vol. 25, no. 11, p. 1611, 1985.
9. M. Kishimoto el ai. "Application of genetic algorithm to inverse estimation of current distribution from magnetic fields," in Simulation und Design of Applied Electromagnetic Systems. New York: Elsevier, 1993, p. 209.
10. M. Kishimoto, K. Sakasai, and K. Ara, "Estimation of current distribu tion from magnetic fields by combination method of genetic algorithm and neural network," Trans. IEE. Japan, vol. 113-C, no. 9, p. 719, 1993.
11. _, "Solution of electromagnetic inverse problem using combinational method of Hopfield neural network and genetic algorithm," J. Appl. Phys., vol. 79, no. 1, Jan. 1, 1996.
12. D. E. Goldbcrg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA; Addison-Wesley, 1989.
13. A. V. Holden and V. I. Kryukov, Neural Network-Theory and Architecture. New York: Manchester Univ. Press, 1990.
14. M. Kishimoto et al., "Inverse estimation of beam current distribution for accelerators using the combination method of genetic algorithm and neural network," in Proc, 3rd Magnetodynamics (MAGDA) Conf., Osaka, Japan, 1994, p. 185.
15. L. L. Lao, J. R. Perron, R. J. Goebner et al., "Equilibrium analysis of current profiles in tokamaks," General Atomics, San Diego, CA, Rep. GA-A19668, 1989.