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2024年10月30日

Diagnosis of Individual Cell Frequencies in a Coupled Cavity Chain by Genetic Algorithms

  • Genetic algorithms (GAs) is used to diagnose individual call frequencies in a coupled cavity chain with no need of any probe insertion. The cell frequencies and couplings between the cells are determined in terms of the measured pass-band performance. It will simplify the tuning processes and make the tuning of the sealed cavity possible. The solution is cast as an optimization problem and GAs is used as a function optimizer to solve this problem. Moreover, in order to expedite the convergence, nonlinear least squares method is added as one kind of mutation into GAs, which makes GAs converge faster and improves the precision of the solution. The effectiveness of the new technique has been demonstrated through some numerical examples, and the results have also been compared with those of the conventional GAs.
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  • [1] . Hable E et al.Tuning of a Superconducting Accelerating Cavity Under Operating Conditions.CERN/EF/RF81-5,1981 2. YUAN Ya-Xiang et al.Theory and Method of Optimization.Beijing:Science Publishing House,1997.1— 339(in Chinese)(袁亚湘等.最优化理论与方法.北京:科学出版社,1997.1—339)3. Gay D M et al.An Adaptive Nonlinear Least-Squares Algorithm.ACM Trans.Math.Software,1981,7:348— 368 4. Michalewicz Z .Genetic Algorithms+Data Structures =Evolution Programs.New York :Springer ,1994 .1—336 5. Nagle D E et al.Coupled Resonator Model for Standing Wave Accelerator Tanks.The Review of Scientific Instruments,1967,38:1—11 6. Schriber S O.Fitting of an Ordered Set of Model Frequencies.Master Thesis,Chalk River Nuclear Laboratories,1970 7. Dennis J E et al.Algorithm 573.NL2SOL———An Adaptive Nonlinear Least-Squares Algorithm .ACM Trans.Math.Software,1981,7:369—383
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Get Citation
NI Yi, TONG De-Chun and LIN Yu-Zheng. Diagnosis of Individual Cell Frequencies in a Coupled Cavity Chain by Genetic Algorithms[J]. Chinese Physics C, 2001, 25(7): 689-695.
NI Yi, TONG De-Chun and LIN Yu-Zheng. Diagnosis of Individual Cell Frequencies in a Coupled Cavity Chain by Genetic Algorithms[J]. Chinese Physics C, 2001, 25(7): 689-695. shu
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Received: 2000-07-05
Revised: 1900-01-01
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Diagnosis of Individual Cell Frequencies in a Coupled Cavity Chain by Genetic Algorithms

    Corresponding author: NI Yi,
  • Department of Engineering Physics, Tsinghua University, Beijing 100084, China

Abstract: Genetic algorithms (GAs) is used to diagnose individual call frequencies in a coupled cavity chain with no need of any probe insertion. The cell frequencies and couplings between the cells are determined in terms of the measured pass-band performance. It will simplify the tuning processes and make the tuning of the sealed cavity possible. The solution is cast as an optimization problem and GAs is used as a function optimizer to solve this problem. Moreover, in order to expedite the convergence, nonlinear least squares method is added as one kind of mutation into GAs, which makes GAs converge faster and improves the precision of the solution. The effectiveness of the new technique has been demonstrated through some numerical examples, and the results have also been compared with those of the conventional GAs.

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