Physical Review Special Topics- Accelerators and Beams
In this paper, a genetic algorithm-based optimization is used to simultaneously minimize two competing objectives guiding the operation of the Jefferson Lab's Continuous Electron Beam Accelerator Facility linacs: cavity heat load and radio frequency cavity trip rates. The results represent a significant improvement to the standard linac energy management tool and thereby could lead to a more efficient Continuous Electron Beam Accelerator Facility configuration. This study also serves as a proof of principle of how a genetic algorithm can be used for optimizing other linac-based machines.
Original Publication Citation
Terzic, B., Hofler, A.S., Reeves, C.J., Khan, S.A., Krafft, G.A., Benesch, J., . . . Ranjan, D. (2014). Simultaneous optimization of the cavity heat load and trip rates in linacs using a genetic algorithm. Physical Review Special Topics-Accelerators and Beams, 17(10), 1-12. doi: 10.1103/PhysRevSTAB.17.101003
Terzić, Balša; Hofler, Alicia S.; Reeves, Cody J.; Khan, Sabbir A.; Krafft, Geoffrey A.; Benesch, Jay; Freyberger, Arne; and Ranjan, Desh, "Simultaneous Optimization of the Cavity Heat Load and Trip Rates in Linacs Using a Genetic Algorithm" (2014). Physics Faculty Publications. 22.