Multi-Objective Optimization of High-Power Microwave Sources Based on Multi-Criteria Decision-Making and Multi-Objective Micro-Genetic Algorithm

This article presents a fuzzy simple additive weighting multi-objective micro-genetic algorithm (FSAW-MO-MGA) for high-power microwave (HPM) sources optimization. The FSAW-MO-MGA and a single-objective genetic algorithm are independently used to optimize the same
Ka
-band relativistic backward-wave oscillator (RBWO) device. The use of the FSAW-MO-MGA allowed us to obtain an optimized device structure of RBWO with comprehensively improved performance. Particle-in-cell (PIC) simulation results show that the optimized RBWO can generate microwave pulses with an output power of 616.0 MW and an operating frequency of 30.33 GHz under a diode voltage of 625.6 kV, and the diode current is 6.59 kA at a guiding magnetic field of 0.8 T. Compared with the original RBWO, the output power of the optimized RBWO has been increased by 197.6%, the beam-to-microwave conversion efficiency has increased from 5.0% to 14.9%, and the beam-current transmission has increased from 70.13% to 87.72%. The reasons for these improvements in device performance are analyzed in detail.