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Optimal design of high-power microwave source based on particle simulation and genetic algorithms

Chen Zai-Gao Wang Jian-Guo Wang Yue Qiao Hai-Liang Guo Wei-Jie Zhang Dian-Hui

Optimal design of high-power microwave source based on particle simulation and genetic algorithms

Chen Zai-Gao, Wang Jian-Guo, Wang Yue, Qiao Hai-Liang, Guo Wei-Jie, Zhang Dian-Hui
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  • Received Date:  30 March 2013
  • Accepted Date:  28 April 2013
  • Published Online:  20 August 2013

Optimal design of high-power microwave source based on particle simulation and genetic algorithms

  • 1. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China;
  • 2. Northwest Institute of Nuclear Technology, Xi’an 710024, China

Abstract: Optimal design method of high-power microwave source based on particle simulation and parallel genetic algorithm is presented in this paper. The output power of the high-power microwave device, simulated by the fully electromagnetic particle simulation code UNIPIC, is given as a fitness function, and the float-encoding genetic algorithm is used to optimize the high-power microwave device. Using this method, we encode the position and height of the Bragg reflector of the relativistic backward wave oscillator (RBWO), and optimize the parameters for a massively parallel processor. Simulation results demonstrate that we can obtain the global optimal parameters of the Bragg reflector of the RBWO.

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